diff --git a/package/CHANGELOG b/package/CHANGELOG
index 67e46ef767e..9845d6069c3 100644
--- a/package/CHANGELOG
+++ b/package/CHANGELOG
@@ -65,6 +65,7 @@ Enhancements
   * add high order water bridge support to water bridge analysis. (PR #2087)
 
 Changes
+  * added support for scale_factor in NCDFReader (Issue #2323)
   * added official support for Python 3.7 (PR #1963)
   * stopped official support of Python 3.4 (#2066, PR #2174)
   * In lib.mdamath, calculations within triclinic_box(), triclinic_vectors(),
@@ -76,6 +77,7 @@ Changes
   * changed the water bridge analysis output format (PR #2087)
 
 Fixes
+  * fixed lack of check for scaling of NCDFReader velocities (Issue #2323)
   * fixed PDBReader and PDBWriter newlines for PDB header (Issue #2324)
   * fixes ProgressMeter issues with older Jupyter Lab versions (Issue #2078)
   * fixes ProgressMeter behaviour for non-AnalysisBase methods (Issue #2084)
diff --git a/package/MDAnalysis/coordinates/TRJ.py b/package/MDAnalysis/coordinates/TRJ.py
index 867d38ede20..a595a4513ca 100644
--- a/package/MDAnalysis/coordinates/TRJ.py
+++ b/package/MDAnalysis/coordinates/TRJ.py
@@ -154,7 +154,7 @@
 """
 from __future__ import (absolute_import, division, print_function,
                         unicode_literals)
-
+import scipy.io.netcdf
 import numpy as np
 import warnings
 import errno
@@ -167,7 +167,6 @@
 
 logger = logging.getLogger("MDAnalysis.coordinates.AMBER")
 
-import scipy.io.netcdf
 
 try:
     import netCDF4
@@ -175,6 +174,7 @@
     netCDF4 = None
     logger.warning("netCDF4 is not available. Writing AMBER ncdf files will be slow.")
 
+
 class Timestep(base.Timestep):
     """AMBER trajectory Timestep.
 
@@ -417,12 +417,13 @@ class NCDFReader(base.ReaderBase):
     Periodic unit cell information is detected and used to populate the
     :attr:`Timestep.dimensions` attribute. (If no unit cell is available in
     the trajectory, then :attr:`Timestep.dimensions` will return
-    ``[0,0,0,0,0,0]``.)
+    ``[0,0,0,0,0,0]``).
 
     Current limitations:
 
     * only trajectories with time in ps and lengths in Angstroem are processed
-    * scale_factors are not supported (and not checked)
+    * scale_factors are supported on read but are currently not kept/used when
+      writing
 
     The NCDF reader uses :mod:`scipy.io.netcdf` and therefore :mod:`scipy` must
     be installed. It supports the *mmap* keyword argument (when reading):
@@ -448,6 +449,17 @@ class NCDFReader(base.ReaderBase):
        kwarg `delta` renamed to `dt`, for uniformity with other Readers.
     .. versionchanged:: 0.17.0
        Uses :mod:`scipy.io.netcdf` and supports the *mmap* kwarg.
+    .. versionchanged:: 0.20.0
+       Now reads scale_factors for all expected AMBER convention variables.
+       Timestep variables now adhere standard MDAnalysis units, with lengths
+       of angstrom, time of ps, velocity of angstrom/ps and force of
+       kJ/(mol*Angstrom). It is noted that with 0.19.2 and earlier versions,
+       velocities would have often been reported in values of angstrom/AKMA
+       time units instead (Issue #2323).
+
+    .. TODO:
+       * Remove support for `degrees` units in MDAnalysis version > 1.0
+         (Issue #2327, PR #2326).
 
     """
 
@@ -458,9 +470,11 @@ class NCDFReader(base.ReaderBase):
              'length': 'Angstrom',
              'velocity': 'Angstrom/ps',
              'force': 'kcal/(mol*Angstrom)'}
+
     _Timestep = Timestep
 
     def __init__(self, filename, n_atoms=None, mmap=None, **kwargs):
+
         self._mmap = mmap
 
         super(NCDFReader, self).__init__(filename, **kwargs)
@@ -468,64 +482,156 @@ def __init__(self, filename, n_atoms=None, mmap=None, **kwargs):
         self.trjfile = scipy.io.netcdf.netcdf_file(self.filename,
                                                    mmap=self._mmap)
 
-        if not ('AMBER' in self.trjfile.Conventions.decode('utf-8').split(',') or
-                'AMBER' in self.trjfile.Conventions.decode('utf-8').split()):
+        # AMBER NetCDF files should always have a convention
+        try:
+            conventions = self.trjfile.Conventions
+            if not ('AMBER' in conventions.decode('utf-8').split(',') or
+                    'AMBER' in conventions.decode('utf-8').split()):
+                errmsg = ("NCDF trajectory {0} does not conform to AMBER "
+                          "specifications, "
+                          "http://ambermd.org/netcdf/nctraj.xhtml "
+                          "('AMBER' must be one of the token in attribute "
+                          "Conventions)".format(self.filename))
+                logger.fatal(errmsg)
+                raise TypeError(errmsg)
+        except AttributeError:
+            errmsg = "NCDF trajectory {0} is missing Conventions".format(
+                      self.filename)
+            logger.fatal(errmsg)
+            raise ValueError(errmsg)
+
+        # AMBER NetCDF files should also have a ConventionVersion
+        try:
+            ConventionVersion = self.trjfile.ConventionVersion.decode('utf-8')
+            if not ConventionVersion == self.version:
+                wmsg = ("NCDF trajectory format is {0!s} but the reader "
+                        "implements format {1!s}".format(
+                         ConventionVersion, self.version))
+                warnings.warn(wmsg)
+                logger.warning(wmsg)
+        except AttributeError:
+            errmsg = "NCDF trajectory {0} is missing ConventionVersion".format(
+                      self.filename)
+            raise ValueError(errmsg)
+
+        # The AMBER NetCDF standard enforces 64 bit offsets
+        if not self.trjfile.version_byte == 2:
             errmsg = ("NCDF trajectory {0} does not conform to AMBER "
-                      "specifications, http://ambermd.org/netcdf/nctraj.xhtml "
-                      "('AMBER' must be one of the tokens in attribute "
-                      "Conventions)".format(self.filename))
+                      "specifications, as detailed in "
+                      "https://ambermd.org/netcdf/nctraj.xhtml "
+                      "(NetCDF file does not use 64 bit offsets "
+                      "[version_byte = 2])".format(self.filename))
             logger.fatal(errmsg)
             raise TypeError(errmsg)
-        if not self.trjfile.ConventionVersion.decode('utf-8') == self.version:
-            wmsg = ("NCDF trajectory format is {0!s} but the reader "
-                    "implements format {1!s}".format(
-                        self.trjfile.ConventionVersion, self.version))
+
+        # The AMBER NetCDF standard enforces 3D coordinates
+        try:
+            if not self.trjfile.dimensions['spatial'] == 3:
+                errmsg = "Incorrect spatial value for NCDF trajectory file"
+                raise TypeError(errmsg)
+        except KeyError:
+            errmsg = "NCDF trajectory does not contain spatial dimension"
+            raise ValueError(errmsg)
+
+        # AMBER NetCDF specs require program and programVersion. Warn users
+        # if those attributes do not exist
+        if not (hasattr(self.trjfile, 'program') and
+                hasattr(self.trjfile, 'programVersion')):
+            wmsg = ("NCDF trajectory {0} may not fully adhere to AMBER "
+                    "standards as either the `program` or `programVersion` "
+                    "attributes are missing".format(self.filename))
             warnings.warn(wmsg)
             logger.warning(wmsg)
 
-        self.n_atoms = self.trjfile.dimensions['atom']
-        self.n_frames = self.trjfile.dimensions['frame']
-        # example trajectory when read with scipy.io.netcdf has
-        # dimensions['frame'] == None (indicating a record dimension that can
-        # grow) whereas if read with netCDF4 I get len(dimensions['frame']) ==
-        # 10: in any case, we need to get the number of frames from somewhere
-        # such as the time variable:
-        if self.n_frames is None:
-            self.n_frames = self.trjfile.variables['time'].shape[0]
+        try:
+            self.n_atoms = self.trjfile.dimensions['atom']
+            if n_atoms is not None and n_atoms != self.n_atoms:
+                errmsg = ("Supplied n_atoms ({0}) != natom from ncdf ({1}). "
+                          "Note: n_atoms can be None and then the ncdf value "
+                          "is used!".format(n_atoms, self.n_atoms))
+                raise ValueError(errmsg)
+        except KeyError:
+            errmsg = ("NCDF trajectory {0} does not contain atom "
+                      "information".format(self.filename))
+            raise ValueError(errmsg)
+
+        try:
+            self.n_frames = self.trjfile.dimensions['frame']
+            # example trajectory when read with scipy.io.netcdf has
+            # dimensions['frame'] == None (indicating a record dimension that
+            # can grow) whereas if read with netCDF4 I get
+            # len(dimensions['frame']) ==  10: in any case, we need to get
+            # the number of frames from somewhere such as the time variable:
+            if self.n_frames is None:
+                self.n_frames = self.trjfile.variables['time'].shape[0]
+        except KeyError:
+            errmsg = ("NCDF trajectory {0} does not contain frame "
+                      "information".format(self.filename))
+            raise ValueError(errmsg)
 
         try:
             self.remarks = self.trjfile.title
         except AttributeError:
             self.remarks = ""
         # other metadata (*= requd):
-        # - program*              sander
-        # - programVersion*       9.0
         # - application           AMBER
         #
 
         # checks for not-implemented features (other units would need to be
         # hacked into MDAnalysis.units)
-        if self.trjfile.variables['time'].units.decode('utf-8') != "picosecond":
-            raise NotImplementedError(
-                "NETCDFReader currently assumes that the trajectory was written "
-                "with a time unit of picoseconds and not {0}.".format(
-                    self.trjfile.variables['time'].units))
-        if self.trjfile.variables['coordinates'].units.decode('utf-8') != "angstrom":
-            raise NotImplementedError(
-                "NETCDFReader currently assumes that the trajectory was written "
-                "with a length unit of Angstroem and not {0}.".format(
-                    self.trjfile.variables['coordinates'].units))
-        if hasattr(self.trjfile.variables['coordinates'], 'scale_factor'):
-            raise NotImplementedError("scale_factors are not implemented")
-        if n_atoms is not None and n_atoms != self.n_atoms:
-            raise ValueError("Supplied n_atoms ({0}) != natom from ncdf ({1}). "
-                             "Note: n_atoms can be None and then the ncdf value "
-                             "is used!".format(n_atoms, self.n_atoms))
+        self._verify_units(self.trjfile.variables['time'].units, 'picosecond')
+        self._verify_units(self.trjfile.variables['coordinates'].units,
+                           'angstrom')
+
+        # Check for scale_factor attributes for all data variables and
+        # store this to multiply through later (Issue #2323)
+        self.scale_factors = {'time': 1.0,
+                              'cell_lengths': 1.0,
+                              'cell_angles': 1.0,
+                              'coordinates': 1.0,
+                              'velocities': 1.0,
+                              'forces': 1.0}
+
+        for variable in self.trjfile.variables:
+            if hasattr(self.trjfile.variables[variable], 'scale_factor'):
+                if variable in self.scale_factors:
+                    scale_factor = self.trjfile.variables[variable].scale_factor
+                    self.scale_factors[variable] = scale_factor
+                else:
+                    errmsg = ("scale_factors for variable {0} are "
+                              "not implemented".format(variable))
+                    raise NotImplementedError(errmsg)
 
         self.has_velocities = 'velocities' in self.trjfile.variables
+        if self.has_velocities:
+            self._verify_units(self.trjfile.variables['velocities'].units,
+                               'angstrom/picosecond')
+
         self.has_forces = 'forces' in self.trjfile.variables
+        if self.has_forces:
+            self._verify_units(self.trjfile.variables['forces'].units,
+                               'kilocalorie/mole/angstrom')
 
         self.periodic = 'cell_lengths' in self.trjfile.variables
+        if self.periodic:
+            self._verify_units(self.trjfile.variables['cell_lengths'].units,
+                               'angstrom')
+            # Currently the MDA writer outputs 'degrees' rather than the
+            # singular form 'degree' agreed in the conventions. As discussed
+            # in PR #2326 from MDA 1.0 only and 'degree' will be accepted.
+            cell_angle_units = self.trjfile.variables['cell_angles'].units
+            if (cell_angle_units.decode('utf-8') == 'degrees'):
+                wmsg = ("DEPRECATED (1.0): NCDF trajectory {0} uses units of "
+                        "`degrees` for the `cell_angles` variable instead of "
+                        "`degree`. Support for non-AMBER convention units is "
+                        "now deprecated and will end in MDAnalysis version "
+                        "1.0. Afterwards, reading this file will raise an "
+                        "error.")
+                warnings.warn(wmsg, category=DeprecationWarning)
+                logger.warning(wmsg)
+            else:
+                self._verify_units(cell_angle_units, 'degree')
+
         self._current_frame = 0
 
         self.ts = self._Timestep(self.n_atoms,
@@ -537,6 +643,14 @@ def __init__(self, filename, n_atoms=None, mmap=None, **kwargs):
         # load first data frame
         self._read_frame(0)
 
+    @staticmethod
+    def _verify_units(eval_unit, expected_units):
+        if eval_unit.decode('utf-8') != expected_units:
+            errmsg = ("NETCDFReader currently assumes that the trajectory "
+                      "was written in units of {0} instead of {1}".format(
+                       eval_unit.decode('utf-8'), expected_units))
+            raise NotImplementedError(errmsg)
+
     @staticmethod
     def parse_n_atoms(filename, **kwargs):
         with scipy.io.netcdf.netcdf_file(filename, mmap=None) as f:
@@ -555,15 +669,21 @@ def _read_frame(self, frame):
             raise IndexError("frame index must be 0 <= frame < {0}".format(
                 self.n_frames))
         # note: self.trjfile.variables['coordinates'].shape == (frames, n_atoms, 3)
-        ts._pos[:] = self.trjfile.variables['coordinates'][frame]
-        ts.time = self.trjfile.variables['time'][frame]
+        ts._pos[:] = (self.trjfile.variables['coordinates'][frame] *
+                      self.scale_factors['coordinates'])
+        ts.time = (self.trjfile.variables['time'][frame] *
+                   self.scale_factors['time'])
         if self.has_velocities:
-            ts._velocities[:] = self.trjfile.variables['velocities'][frame]
+            ts._velocities[:] = (self.trjfile.variables['velocities'][frame] *
+                                 self.scale_factors['velocities'])
         if self.has_forces:
-            ts._forces[:] = self.trjfile.variables['forces'][frame]
+            ts._forces[:] = (self.trjfile.variables['forces'][frame] *
+                             self.scale_factors['forces'])
         if self.periodic:
-            ts._unitcell[:3] = self.trjfile.variables['cell_lengths'][frame]
-            ts._unitcell[3:] = self.trjfile.variables['cell_angles'][frame]
+            ts._unitcell[:3] = (self.trjfile.variables['cell_lengths'][frame] *
+                                self.scale_factors['cell_lengths'])
+            ts._unitcell[3:] = (self.trjfile.variables['cell_angles'][frame] *
+                                self.scale_factors['cell_angles'])
         if self.convert_units:
             self.convert_pos_from_native(ts._pos)  # in-place !
             self.convert_time_from_native(
@@ -728,6 +848,10 @@ class NCDFWriter(base.WriterBase):
        Use fast :mod:`netCDF4` for writing but fall back to slow
        :mod:`scipy.io.netcdf` if :mod:`netCDF4` is not available.
 
+    .. TODO:
+       * Change the `cell_angles` units to `degree`, implement `scale_factor`
+         handling (Issue #2327).
+
     """
 
     format = 'NCDF'
diff --git a/testsuite/MDAnalysisTests/coordinates/test_netcdf.py b/testsuite/MDAnalysisTests/coordinates/test_netcdf.py
index 94286896106..c4265cb4899 100644
--- a/testsuite/MDAnalysisTests/coordinates/test_netcdf.py
+++ b/testsuite/MDAnalysisTests/coordinates/test_netcdf.py
@@ -33,9 +33,11 @@
     assert_equal,
     assert_almost_equal
 )
+from MDAnalysis.coordinates.TRJ import NCDFReader
 
 from MDAnalysisTests.datafiles import (PFncdf_Top, PFncdf_Trj,
-                                       GRO, TRR, XYZ_mini)
+                                       GRO, TRR, XYZ_mini,
+                                       PRM_NCBOX, TRJ_NCBOX)
 from MDAnalysisTests.coordinates.test_trj import _TRJReaderTest
 from MDAnalysisTests.coordinates.reference import (RefVGV, RefTZ2)
 from MDAnalysisTests import make_Universe
@@ -97,6 +99,7 @@ class _NCDFReaderTest_mmap_None(_NCDFReaderTest):
     def universe(self):
         return mda.Universe(self.topology, self.filename, mmap=None)
 
+
 class _NCDFReaderTest_mmap_True(_NCDFReaderTest):
     @pytest.fixture()
     def universe(self):
@@ -106,6 +109,7 @@ def test_mmap_kwarg(self, universe):
         # default is None
         assert universe.trajectory._mmap == True
 
+
 class _NCDFReaderTest_mmap_False(_NCDFReaderTest):
     @pytest.fixture()
     def universe(self):
@@ -118,17 +122,19 @@ def test_mmap_kwarg(self, universe):
 class TestNCDFReader(_NCDFReaderTest, RefVGV):
     pass
 
+
 class TestNCDFReader_mmap_None(_NCDFReaderTest_mmap_None, RefVGV):
     pass
 
+
 class TestNCDFReader_mmap_True(_NCDFReaderTest_mmap_True, RefVGV):
     pass
 
+
 class TestNCDFReader_mmap_False(_NCDFReaderTest_mmap_False, RefVGV):
     pass
 
 
-
 class TestNCDFReaderTZ2(_NCDFReaderTest, RefTZ2):
     pass
 
@@ -195,6 +201,419 @@ def test_dt(self, u):
         assert_almost_equal(ref, u.trajectory.dt, self.prec)
         assert_almost_equal(ref, u.trajectory.ts.dt, self.prec)
 
+    def test_box(self, u):
+        ref = np.array([0., 0., 0., 0., 0., 0.], dtype=np.float32)
+        for ts in u.trajectory:
+            assert_equal(ref, ts.dimensions)
+
+
+class TestNCDFReader3(object):
+    """NCDF trajectory with box, positions, forces and velocities
+
+    Added to address Issue #2323
+    """
+    prec = 3
+
+    # Expected coordinates as stored in Angstrom units
+    coord_refs = np.array([
+        [[15.249873, 12.578178, 15.191731],
+         [14.925511, 13.58888, 14.944009],
+         [15.285703, 14.3409605, 15.645962]],
+        [[14.799454, 15.214347, 14.714555],
+         [15.001984, 15.870884, 13.868363],
+         [16.03358, 16.183628, 14.02995]]
+    ], dtype=np.float32)
+
+    # Expected forces as stored in kcal/(mol*Angstrom)
+    frc_refs = np.array([
+        [[8.583388, 1.8023694, -15.0033455],
+         [-21.594835, 39.09166, 6.567963],
+         [4.363016, -12.135163, 4.4775457]],
+        [[-10.106646, -7.870829, -10.385734],
+         [7.23599, -12.366022, -9.106191],
+         [-4.637955, 11.597565, -6.463743]]
+    ], dtype=np.float32)
+
+    # Expected velocities as stored in Angstrom per AKMA time unit
+    # These are usually associated with a scale_factor of 20.455
+    vel_refs = np.array([
+        [[-0.5301689, -0.16311595, -0.31390688],
+         [0.00188578, 0.02513031, -0.2687525],
+         [0.84072256, 0.09402391, -0.7457009]],
+        [[-1.7773226, 1.2307, 0.50276583],
+         [-0.13532305, 0.1355039, -0.05567304],
+         [-0.6182481, 1.6396415, 0.46686798]]
+    ], dtype=np.float32)
+
+    # Expected box values as stored in cell_lengths ([:3]) of Angstrom
+    # and cell_angles ([:3]) of degree
+    box_refs = np.array([
+        [28.81876287, 28.27875261, 27.72616397, 90., 90., 90.],
+        [27.06266081, 26.55555665, 26.03664058, 90., 90., 90.]
+    ], dtype=np.float32)
+
+    @pytest.fixture(scope='class')
+    def universe(self):
+        return mda.Universe(PRM_NCBOX, TRJ_NCBOX)
+
+    @pytest.mark.parametrize('index,expected', ((0, 0), (8, 1)))
+    def test_positions(self, universe, index, expected):
+        universe.trajectory[index]
+        assert_almost_equal(self.coord_refs[expected],
+                            universe.atoms.positions[:3], self.prec)
+
+    @pytest.mark.parametrize('index,expected', ((0, 0), (8, 1)))
+    def test_forces(self, universe, index, expected):
+        """Here we multiply the forces by 4.184 to convert from
+        kcal to kj in order to verify that MDA has correctly read
+        and converted the units from those stored in the NetCDF file.
+        """
+        universe.trajectory[index]
+        assert_almost_equal(self.frc_refs[expected] * 4.184,
+                            universe.atoms.forces[:3], self.prec)
+
+    @pytest.mark.parametrize('index,expected', ((0, 0), (8, 1)))
+    def test_velocities(self, universe, index, expected):
+        """Here we multiply the velocities by 20.455 to match the value of
+        `scale_factor` which has been declared in the NetCDF file, which
+        should change the values from Angstrom/AKMA time unit to Angstrom/ps.
+        """
+        universe.trajectory[index]
+        assert_almost_equal(self.vel_refs[expected] * 20.455,
+                            universe.atoms.velocities[:3], self.prec)
+
+    @pytest.mark.parametrize('index,expected', ((0, 1.0), (8, 9.0)))
+    def test_time(self, universe, index, expected):
+        assert_almost_equal(expected, universe.trajectory[index].time,
+                            self.prec)
+
+    def test_nframes(self, universe):
+        assert_equal(10, universe.trajectory.n_frames)
+
+    def test_dt(self, universe):
+        ref = 1.0
+        assert_almost_equal(ref, universe.trajectory.dt, self.prec)
+        assert_almost_equal(ref, universe.trajectory.ts.dt, self.prec)
+
+    @pytest.mark.parametrize('index,expected', ((0, 0), (8, 1)))
+    def test_box(self, universe, index, expected):
+        universe.trajectory[index]
+        assert_almost_equal(self.box_refs[expected], universe.dimensions)
+
+
+class _NCDFGenerator(object):
+    """A class for generating abitrary ncdf files and exhaustively test
+    edge cases which might not be found in the wild"""
+
+    def create_ncdf(self, params):
+        """A basic modular ncdf writer based on :class:`NCDFWriter`"""
+        # Create under context manager
+        with netcdf.netcdf_file(params['filename'], mode='w',
+                                version=params['version_byte']) as ncdf:
+            # Top level attributes
+            if params['Conventions']:
+                setattr(ncdf, 'Conventions', params['Conventions'])
+            if params['ConventionVersion']:
+                setattr(ncdf, 'ConventionVersion',
+                        params['ConventionVersion'])
+            if params['program']:
+                setattr(ncdf, 'program', params['program'])
+            if params['programVersion']:
+                setattr(ncdf, 'programVersion', params['programVersion'])
+
+            # Dimensions
+            if params['frame']:
+                ncdf.createDimension('frame', None)
+            if params['n_atoms']:
+                ncdf.createDimension('atom', params['n_atoms'])
+            if params['spatial']:
+                ncdf.createDimension('spatial', params['spatial'])
+            if params['time']:
+                ncdf.createDimension('time', 1)
+            ncdf.createDimension('label', 5)
+            ncdf.createDimension('cell_spatial', 3)
+            ncdf.createDimension('cell_angular', 3)
+
+            # Variables
+            if params['time']:
+                time = ncdf.createVariable('time', 'd', ('time',))
+                setattr(time, 'units', params['time'])
+                time[:] = 1.0
+            cell_spatial = ncdf.createVariable('cell_spatial', 'c',
+                                               ('cell_spatial', ))
+            cell_spatial[:] = np.asarray(list('abc'))
+            cell_angular = ncdf.createVariable('cell_angular', 'c',
+                                               ('cell_angular', 'label'))
+            cell_angular[:] = np.asarray([list('alpha'), list('beta '),
+                                          list('gamma')])
+
+            # Spatial or atom dependent variables
+            if (params['spatial']) and (params['n_atoms']):
+                spatial = ncdf.createVariable('spatial', 'c', ('spatial',))
+                spatial[:] = np.asarray(list('xyz')[:params['spatial']])
+                if params['frame']:
+                    if params['coordinates']:
+                        coords = ncdf.createVariable('coordinates', 'f4',
+                                                     ('frame', 'atom',
+                                                      'spatial'))
+                    velocs = ncdf.createVariable('velocities', 'f4',
+                                                 ('frame', 'atom', 'spatial'))
+                    forces = ncdf.createVariable('forces', 'f4',
+                                                 ('frame', 'atom', 'spatial'))
+                    cell_lengths = ncdf.createVariable('cell_lengths', 'f8',
+                                                       ('frame',
+                                                        'cell_spatial'))
+                    cell_angles = ncdf.createVariable('cell_angles', 'f8',
+                                                      ('frame',
+                                                       'cell_angular'))
+                else:
+                    if params['coordinates']:
+                        coords = ncdf.createVariable('coordinates', 'f8',
+                                                     ('atom', 'spatial'))
+                    cell_lengths = ncdf.createVariable('cell_lengths', 'f8',
+                                                       ('cell_spatial',))
+                    cell_angles = ncdf.createVariable('cell_angles', 'f8',
+                                                      ('cell_angular',))
+                    velocs = ncdf.createVariable('velocities', 'f8',
+                                                 ('atom', 'spatial'))
+                    forces = ncdf.createVariable('forces', 'f8',
+                                                 ('atom', 'spatial'))
+
+                # Set units
+                if params['coordinates']:
+                    setattr(coords, 'units', params['coordinates'])
+                setattr(velocs, 'units', params['velocities'])
+                setattr(forces, 'units', params['forces'])
+                setattr(cell_lengths, 'units', params['cell_lengths'])
+                setattr(cell_angles, 'units', params['cell_angles'])
+
+                # Assign value
+                if params['frame']:
+                    for index in range(params['frame']):
+                        if params['coordinates']:
+                            coords[index, :] = np.asarray(
+                             range(params['spatial']), dtype=np.float32)
+                        cell_lengths[index, :] = np.array([20., 20., 20.],
+                                                          dtype=np.float32)
+                        cell_angles[index, :] = np.array([90., 90., 90.],
+                                                         dtype=np.float32)
+                        velocs[index, :] = np.asarray(range(params['spatial']),
+                                                      dtype=np.float32)
+                        forces[index, :] = np.asarray(range(params['spatial']),
+                                                      dtype=np.float32)
+                else:
+                    if params['coordinates']:
+                        coords[:] = np.asarray(range(params['spatial']),
+                                               dtype=np.float32)
+                    cell_lengths[:] = np.array([20., 20., 20.],
+                                               dtype=np.float32)
+                    cell_angles[:] = np.array([90., 90., 90.],
+                                              dtype=np.float32)
+                    velocs[:] = np.asarray(range(params['spatial']),
+                                           dtype=np.float32)
+                    forces[:] = np.asarray(range(params['spatial']),
+                                           dtype=np.float32)
+
+            # self.scale_factor overrides which variable gets a scale_factor
+            if params['scale_factor']:
+                setattr(ncdf.variables[params['scale_factor']],
+                        'scale_factor', params['scale_factor_value'])
+
+    def gen_params(self, keypair=None, restart=False):
+        """Generate writer parameters, keypair can be used to overwrite
+        given dictonary entries (expects dictionary)
+        """
+
+        params = {
+            'filename': 'test.nc',
+            'version_byte': 2,
+            'Conventions': 'AMBER',
+            'ConventionVersion': '1.0',
+            'program': 'mda test_writer',
+            'programVersion': 'V42',
+            'n_atoms': 1,
+            'spatial': 3,
+            'coordinates': 'angstrom',
+            'velocities': 'angstrom/picosecond',
+            'forces': 'kilocalorie/mole/angstrom',
+            'cell_lengths': 'angstrom',
+            'cell_angles': 'degree',
+            'time': 'picosecond',
+            'scale_factor': None,
+            'scale_factor_value': 2.0,
+            'frame': 2
+        }
+
+        if restart:
+            params['filename'] = 'test.ncrst'
+            params['frame'] = None
+
+        if keypair:
+            for entry in keypair:
+                params[entry] = keypair[entry]
+
+        return params
+
+
+class TestScaleFactorImplementation(_NCDFGenerator):
+
+    prec = 5
+
+    def test_scale_factor_coordinates(self, tmpdir):
+        mutation = {'scale_factor': 'coordinates'}
+        params = self.gen_params(keypair=mutation, restart=False)
+        expected = np.asarray(range(3), dtype=np.float32) * 2.0
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            u = mda.Universe(params['filename'])
+            for ts in u.trajectory:
+                assert_almost_equal(ts.positions[0], expected, self.prec)
+
+    def test_scale_factor_velocities(self, tmpdir):
+        mutation = {'scale_factor': 'velocities', 'scale_factor_value': 3.0}
+        params = self.gen_params(keypair=mutation, restart=False)
+        expected = np.asarray(range(3), dtype=np.float32) * 3.0
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            u = mda.Universe(params['filename'])
+            for ts in u.trajectory:
+                assert_almost_equal(ts.velocities[0], expected, self.prec)
+
+    def test_scale_factor_forces(self, tmpdir):
+        mutation = {'scale_factor': 'forces', 'scale_factor_value': 10.0}
+        params = self.gen_params(keypair=mutation, restart=False)
+        expected = np.asarray(range(3), dtype=np.float32) * 10.0 * 4.184
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            u = mda.Universe(params['filename'])
+            for ts in u.trajectory:
+                assert_almost_equal(ts.forces[0], expected, self.prec)
+
+    @pytest.mark.parametrize('mutation,expected', (
+        ({'scale_factor': 'cell_lengths', 'scale_factor_value': 0.75},
+         np.array([15., 15., 15., 90., 90., 90.])),
+        ({'scale_factor': 'cell_angles', 'scale_factor_value': 0.5},
+         np.array([20., 20., 20., 45., 45., 45.]))
+    ))
+    def test_scale_factor_box(self, tmpdir, mutation, expected):
+        params = self.gen_params(keypair=mutation, restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            u = mda.Universe(params['filename'])
+            for ts in u.trajectory:
+                assert_almost_equal(ts.dimensions, expected, self.prec)
+
+
+class TestNCDFReaderExceptionsWarnings(_NCDFGenerator):
+
+    @pytest.mark.parametrize('mutation', [
+        {'Conventions': 'Foo'},
+        {'version_byte': 1},
+        {'spatial': 2}
+    ])
+    def test_type_errors(self, tmpdir, mutation):
+        params = self.gen_params(keypair=mutation, restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            with pytest.raises(TypeError):
+                NCDFReader(params['filename'])
+
+    @pytest.mark.parametrize('mutation', [
+        {'Conventions': None},
+        {'ConventionVersion': None},
+        {'spatial': None},
+        {'n_atoms': None},
+        {'frame': None}
+    ])
+    def test_value_errors(self, tmpdir, mutation):
+        params = self.gen_params(keypair=mutation, restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            with pytest.raises(ValueError):
+                NCDFReader(params['filename'])
+
+    @pytest.mark.parametrize('mutation', [
+        {'scale_factor': 'cell_spatial'},
+        {'time': 'femtosecond'},
+        {'coordinates': 'nanometer'},
+        {'velocities': 'angstrom/akma'},
+        {'forces': 'kilojoule/mole/angstrom'},
+        {'cell_lengths': 'nanometer'},
+        {'cell_angles': 'radians'}
+    ])
+    def test_notimplemented_errors(self, tmpdir, mutation):
+        params = self.gen_params(keypair=mutation, restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            with pytest.raises(NotImplementedError):
+                NCDFReader(params['filename'])
+
+    @pytest.mark.parametrize('evaluate,expected', (
+        ('yard', 'foot'),
+        ('second', 'minute')
+    ))
+    def test_verify_units_errors(self, evaluate, expected):
+        """Directly tests expected failures of _verify_units"""
+        with pytest.raises(NotImplementedError):
+            NCDFReader._verify_units(evaluate.encode('utf-8'), expected)
+
+    def test_ioerror(self, tmpdir):
+        params = self.gen_params(restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            with pytest.raises(IOError):
+                u = mda.Universe(params['filename'])
+                u.trajectory.close()
+                u.trajectory[-1]
+
+    def test_conventionversion_warn(self, tmpdir):
+        mutation = {'ConventionVersion': '2.0'}
+        params = self.gen_params(keypair=mutation, restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            with pytest.warns(UserWarning) as record:
+                NCDFReader(params['filename'])
+
+            assert len(record) == 1
+            wmsg = ("NCDF trajectory format is 2.0 but the reader "
+                    "implements format 1.0")
+            assert str(record[0].message.args[0]) == wmsg
+
+    @pytest.mark.parametrize('mutation', [
+        {'program': None},
+        {'programVersion': None}
+    ])
+    def test_program_warn(self, tmpdir, mutation):
+        params = self.gen_params(keypair=mutation, restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            with pytest.warns(UserWarning) as record:
+                NCDFReader(params['filename'])
+
+            assert len(record) == 1
+            wmsg = ("NCDF trajectory test.nc may not fully adhere to AMBER "
+                    "standards as either the `program` or `programVersion` "
+                    "attributes are missing")
+            assert str(record[0].message.args[0]) == wmsg
+
+    def test_degrees_warn(self, tmpdir):
+        """Checks that plural degrees throws an user deprecation warning
+        TODO: remove in MDAnalysis version 1.0 (Issue #2327)"""
+        mutation = {'cell_angles': 'degrees'}
+        params = self.gen_params(keypair=mutation, restart=False)
+        with tmpdir.as_cwd():
+            self.create_ncdf(params)
+            with pytest.warns(DeprecationWarning) as record:
+                NCDFReader(params['filename'])
+
+            assert len(record) == 1
+            wmsg = ("DEPRECATED (1.0): NCDF trajectory {0} uses units of "
+                    "`degrees` for the `cell_angles` variable instead of "
+                    "`degree`. Support for non-AMBER convention units is "
+                    "now deprecated and will end in MDAnalysis version 1.0. "
+                    "Afterwards, reading this file will raise an error.")
+            assert str(record[0].message.args[0]) == wmsg
+
 
 class _NCDFWriterTest(object):
     prec = 5
diff --git a/testsuite/MDAnalysisTests/data/Amber/ace_mbondi3.nc b/testsuite/MDAnalysisTests/data/Amber/ace_mbondi3.nc
new file mode 100644
index 00000000000..f5175eb1257
Binary files /dev/null and b/testsuite/MDAnalysisTests/data/Amber/ace_mbondi3.nc differ
diff --git a/testsuite/MDAnalysisTests/data/Amber/ace_tip3p.nc b/testsuite/MDAnalysisTests/data/Amber/ace_tip3p.nc
new file mode 100644
index 00000000000..ef1bd0a1d7c
Binary files /dev/null and b/testsuite/MDAnalysisTests/data/Amber/ace_tip3p.nc differ
diff --git a/testsuite/MDAnalysisTests/data/Amber/ace_tip3p.parm7 b/testsuite/MDAnalysisTests/data/Amber/ace_tip3p.parm7
new file mode 100644
index 00000000000..d0faa2e263b
--- /dev/null
+++ b/testsuite/MDAnalysisTests/data/Amber/ace_tip3p.parm7
@@ -0,0 +1,2892 @@
+%VERSION  VERSION_STAMP = V0001.000  DATE = 08/05/19  18:14:54                  
+%FLAG TITLE                                                                     
+%FORMAT(20a4)                                                                   
+ACE                                                                             
+%FLAG POINTERS                                                                  
+%FORMAT(10I8)                                                                   
+    1398       6    1395       2       6       1       9       0       0       0
+    1872     465       2       1       0       5       3       3       6       1
+       0       0       0       0       0       0       0       1       6       0
+       0
+%FLAG ATOM_NAME                                                                 
+%FORMAT(20a4)                                                                   
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+%FLAG CHARGE                                                                    
+%FORMAT(5E16.8)                                                                 
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+%FLAG ATOMIC_NUMBER                                                             
+%FORMAT(10I8)                                                                   
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+       8       1       1       8       1       1       8       1       1       8
+       1       1       8       1       1       8       1       1
+%FLAG MASS                                                                      
+%FORMAT(5E16.8)                                                                 
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+%FLAG ATOM_TYPE_INDEX                                                           
+%FORMAT(10I8)                                                                   
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+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6       5       6
+       6       5       6       6       5       6       6       5       6       6
+       5       6       6       5       6       6       5       6       6       5
+       6       6       5       6       6       5       6       6
+%FLAG NUMBER_EXCLUDED_ATOMS                                                     
+%FORMAT(10I8)                                                                   
+       5       4       3       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1       2       1
+       1       2       1       1       2       1       1       2       1       1
+       2       1       1       2       1       1       2       1       1       2
+       1       1       2       1       1       2       1       1
+%FLAG NONBONDED_PARM_INDEX                                                      
+%FORMAT(10I8)                                                                   
+       1       2       4       7      11      16       2       3       5       8
+      12      17       4       5       6       9      13      18       7       8
+       9      10      14      19      11      12      13      14      15      -1
+      16      17      18      19      -1      21
+%FLAG RESIDUE_LABEL                                                             
+%FORMAT(20a4)                                                                   
+ACE WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT WAT 
+WAT WAT WAT WAT WAT 
+%FLAG RESIDUE_POINTER                                                           
+%FORMAT(10I8)                                                                   
+       1       7      10      13      16      19      22      25      28      31
+      34      37      40      43      46      49      52      55      58      61
+      64      67      70      73      76      79      82      85      88      91
+      94      97     100     103     106     109     112     115     118     121
+     124     127     130     133     136     139     142     145     148     151
+     154     157     160     163     166     169     172     175     178     181
+     184     187     190     193     196     199     202     205     208     211
+     214     217     220     223     226     229     232     235     238     241
+     244     247     250     253     256     259     262     265     268     271
+     274     277     280     283     286     289     292     295     298     301
+     304     307     310     313     316     319     322     325     328     331
+     334     337     340     343     346     349     352     355     358     361
+     364     367     370     373     376     379     382     385     388     391
+     394     397     400     403     406     409     412     415     418     421
+     424     427     430     433     436     439     442     445     448     451
+     454     457     460     463     466     469     472     475     478     481
+     484     487     490     493     496     499     502     505     508     511
+     514     517     520     523     526     529     532     535     538     541
+     544     547     550     553     556     559     562     565     568     571
+     574     577     580     583     586     589     592     595     598     601
+     604     607     610     613     616     619     622     625     628     631
+     634     637     640     643     646     649     652     655     658     661
+     664     667     670     673     676     679     682     685     688     691
+     694     697     700     703     706     709     712     715     718     721
+     724     727     730     733     736     739     742     745     748     751
+     754     757     760     763     766     769     772     775     778     781
+     784     787     790     793     796     799     802     805     808     811
+     814     817     820     823     826     829     832     835     838     841
+     844     847     850     853     856     859     862     865     868     871
+     874     877     880     883     886     889     892     895     898     901
+     904     907     910     913     916     919     922     925     928     931
+     934     937     940     943     946     949     952     955     958     961
+     964     967     970     973     976     979     982     985     988     991
+     994     997    1000    1003    1006    1009    1012    1015    1018    1021
+    1024    1027    1030    1033    1036    1039    1042    1045    1048    1051
+    1054    1057    1060    1063    1066    1069    1072    1075    1078    1081
+    1084    1087    1090    1093    1096    1099    1102    1105    1108    1111
+    1114    1117    1120    1123    1126    1129    1132    1135    1138    1141
+    1144    1147    1150    1153    1156    1159    1162    1165    1168    1171
+    1174    1177    1180    1183    1186    1189    1192    1195    1198    1201
+    1204    1207    1210    1213    1216    1219    1222    1225    1228    1231
+    1234    1237    1240    1243    1246    1249    1252    1255    1258    1261
+    1264    1267    1270    1273    1276    1279    1282    1285    1288    1291
+    1294    1297    1300    1303    1306    1309    1312    1315    1318    1321
+    1324    1327    1330    1333    1336    1339    1342    1345    1348    1351
+    1354    1357    1360    1363    1366    1369    1372    1375    1378    1381
+    1384    1387    1390    1393    1396
+%FLAG BOND_FORCE_CONSTANT                                                       
+%FORMAT(5E16.8)                                                                 
+  5.70000000E+02  3.40000000E+02  3.17000000E+02  5.53000000E+02  5.53000000E+02
+%FLAG BOND_EQUIL_VALUE                                                          
+%FORMAT(5E16.8)                                                                 
+  1.22900000E+00  1.09000000E+00  1.52200000E+00  9.57200000E-01  1.51360000E+00
+%FLAG ANGLE_FORCE_CONSTANT                                                      
+%FORMAT(5E16.8)                                                                 
+  5.00000000E+01  3.50000000E+01  8.00000000E+01
+%FLAG ANGLE_EQUIL_VALUE                                                         
+%FORMAT(5E16.8)                                                                 
+  1.91113635E+00  1.91113635E+00  2.10137732E+00
+%FLAG DIHEDRAL_FORCE_CONSTANT                                                   
+%FORMAT(5E16.8)                                                                 
+  8.00000000E-01  0.00000000E+00  8.00000000E-02
+%FLAG DIHEDRAL_PERIODICITY                                                      
+%FORMAT(5E16.8)                                                                 
+  1.00000000E+00  2.00000000E+00  3.00000000E+00
+%FLAG DIHEDRAL_PHASE                                                            
+%FORMAT(5E16.8)                                                                 
+  0.00000000E+00  0.00000000E+00  3.14159400E+00
+%FLAG SCEE_SCALE_FACTOR                                                         
+%FORMAT(5E16.8)                                                                 
+  1.20000000E+00  1.20000000E+00  1.20000000E+00
+%FLAG SCNB_SCALE_FACTOR                                                         
+%FORMAT(5E16.8)                                                                 
+  2.00000000E+00  2.00000000E+00  2.00000000E+00
+%FLAG SOLTY                                                                     
+%FORMAT(5E16.8)                                                                 
+  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00
+  0.00000000E+00
+%FLAG LENNARD_JONES_ACOEF                                                       
+%FORMAT(5E16.8)                                                                 
+  7.51607703E+03  9.71708117E+04  1.04308023E+06  8.61541883E+04  9.24822270E+05
+  8.19971662E+05  5.44261042E+04  6.47841731E+05  5.74393458E+05  3.79876399E+05
+  6.91773368E+04  7.85890042E+05  6.96790708E+05  4.72934643E+05  5.81935564E+05
+  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00
+  0.00000000E+00
+%FLAG LENNARD_JONES_BCOEF                                                       
+%FORMAT(5E16.8)                                                                 
+  2.17257828E+01  1.26919150E+02  6.75612247E+02  1.12529845E+02  5.99015525E+02
+  5.31102864E+02  1.11805549E+02  6.26720080E+02  5.55666448E+02  5.64885984E+02
+  1.16264660E+02  6.36687196E+02  5.64503554E+02  5.81361517E+02  5.94825035E+02
+  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00  0.00000000E+00
+  0.00000000E+00
+%FLAG BONDS_INC_HYDROGEN                                                        
+%FORMAT(10I8)                                                                   
+       3       6       2       3       9       2       0       3       2      21
+      18       4      24      18       4      24      21       5      30      27
+       4      33      27       4      33      30       5      39      36       4
+      42      36       4      42      39       5      48      45       4      51
+      45       4      51      48       5      57      54       4      60      54
+       4      60      57       5      66      63       4      69      63       4
+      69      66       5      75      72       4      78      72       4      78
+      75       5      84      81       4      87      81       4      87      84
+       5      93      90       4      96      90       4      96      93       5
+     102      99       4     105      99       4     105     102       5     111
+     108       4     114     108       4     114     111       5     120     117
+       4     123     117       4     123     120       5     129     126       4
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+    3072    3069       4    3075    3069       4    3075    3072       5    3081
+    3078       4    3084    3078       4    3084    3081       5    3090    3087
+       4    3093    3087       4    3093    3090       5    3099    3096       4
+    3102    3096       4    3102    3099       5    3108    3105       4    3111
+    3105       4    3111    3108       5    3117    3114       4    3120    3114
+       4    3120    3117       5    3126    3123       4    3129    3123       4
+    3129    3126       5    3135    3132       4    3138    3132       4    3138
+    3135       5    3144    3141       4    3147    3141       4    3147    3144
+       5    3153    3150       4    3156    3150       4    3156    3153       5
+    3162    3159       4    3165    3159       4    3165    3162       5    3171
+    3168       4    3174    3168       4    3174    3171       5    3180    3177
+       4    3183    3177       4    3183    3180       5    3189    3186       4
+    3192    3186       4    3192    3189       5    3198    3195       4    3201
+    3195       4    3201    3198       5    3207    3204       4    3210    3204
+       4    3210    3207       5    3216    3213       4    3219    3213       4
+    3219    3216       5    3225    3222       4    3228    3222       4    3228
+    3225       5    3234    3231       4    3237    3231       4    3237    3234
+       5    3243    3240       4    3246    3240       4    3246    3243       5
+    3252    3249       4    3255    3249       4    3255    3252       5    3261
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+       5    3603    3600       4    3606    3600       4    3606    3603       5
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+    3669    3666       5    3675    3672       4    3678    3672       4    3678
+    3675       5    3684    3681       4    3687    3681       4    3687    3684
+       5    3693    3690       4    3696    3690       4    3696    3693       5
+    3702    3699       4    3705    3699       4    3705    3702       5    3711
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+    3732    3726       4    3732    3729       5    3738    3735       4    3741
+    3735       4    3741    3738       5    3747    3744       4    3750    3744
+       4    3750    3747       5    3756    3753       4    3759    3753       4
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+       5    3783    3780       4    3786    3780       4    3786    3783       5
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+    3882    3879       4    3885    3879       4    3885    3882       5    3891
+    3888       4    3894    3888       4    3894    3891       5    3900    3897
+       4    3903    3897       4    3903    3900       5    3909    3906       4
+    3912    3906       4    3912    3909       5    3918    3915       4    3921
+    3915       4    3921    3918       5    3927    3924       4    3930    3924
+       4    3930    3927       5    3936    3933       4    3939    3933       4
+    3939    3936       5    3945    3942       4    3948    3942       4    3948
+    3945       5    3954    3951       4    3957    3951       4    3957    3954
+       5    3963    3960       4    3966    3960       4    3966    3963       5
+    3972    3969       4    3975    3969       4    3975    3972       5    3981
+    3978       4    3984    3978       4    3984    3981       5    3990    3987
+       4    3993    3987       4    3993    3990       5    3999    3996       4
+    4002    3996       4    4002    3999       5    4008    4005       4    4011
+    4005       4    4011    4008       5    4017    4014       4    4020    4014
+       4    4020    4017       5    4026    4023       4    4029    4023       4
+    4029    4026       5    4035    4032       4    4038    4032       4    4038
+    4035       5    4044    4041       4    4047    4041       4    4047    4044
+       5    4053    4050       4    4056    4050       4    4056    4053       5
+    4062    4059       4    4065    4059       4    4065    4062       5    4071
+    4068       4    4074    4068       4    4074    4071       5    4080    4077
+       4    4083    4077       4    4083    4080       5    4089    4086       4
+    4092    4086       4    4092    4089       5    4098    4095       4    4101
+    4095       4    4101    4098       5    4107    4104       4    4110    4104
+       4    4110    4107       5    4116    4113       4    4119    4113       4
+    4119    4116       5    4125    4122       4    4128    4122       4    4128
+    4125       5    4134    4131       4    4137    4131       4    4137    4134
+       5    4143    4140       4    4146    4140       4    4146    4143       5
+    4152    4149       4    4155    4149       4    4155    4152       5    4161
+    4158       4    4164    4158       4    4164    4161       5    4170    4167
+       4    4173    4167       4    4173    4170       5    4179    4176       4
+    4182    4176       4    4182    4179       5    4188    4185       4    4191
+    4185       4    4191    4188       5
+%FLAG BONDS_WITHOUT_HYDROGEN                                                    
+%FORMAT(10I8)                                                                   
+      12      15       1       3      12       3
+%FLAG ANGLES_INC_HYDROGEN                                                       
+%FORMAT(10I8)                                                                   
+       9       3      12       1       6       3       9       2       6       3
+      12       1       0       3       6       2       0       3       9       2
+       0       3      12       1
+%FLAG ANGLES_WITHOUT_HYDROGEN                                                   
+%FORMAT(10I8)                                                                   
+       3      12      15       3
+%FLAG DIHEDRALS_INC_HYDROGEN                                                    
+%FORMAT(10I8)                                                                   
+       9       3      12      15       1       9       3     -12      15       2
+       9       3     -12      15       3       6       3      12      15       1
+       6       3     -12      15       2       6       3     -12      15       3
+       0       3      12      15       1       0       3     -12      15       2
+       0       3     -12      15       3
+%FLAG DIHEDRALS_WITHOUT_HYDROGEN                                                
+%FORMAT(10I8)                                                                   
+
+%FLAG EXCLUDED_ATOMS_LIST                                                       
+%FORMAT(10I8)                                                                   
+       2       3       4       5       6       3       4       5       6       4
+       5       6       5       6       6       0       8       9       9       0
+      11      12      12       0      14      15      15       0      17      18
+      18       0      20      21      21       0      23      24      24       0
+      26      27      27       0      29      30      30       0      32      33
+      33       0      35      36      36       0      38      39      39       0
+      41      42      42       0      44      45      45       0      47      48
+      48       0      50      51      51       0      53      54      54       0
+      56      57      57       0      59      60      60       0      62      63
+      63       0      65      66      66       0      68      69      69       0
+      71      72      72       0      74      75      75       0      77      78
+      78       0      80      81      81       0      83      84      84       0
+      86      87      87       0      89      90      90       0      92      93
+      93       0      95      96      96       0      98      99      99       0
+     101     102     102       0     104     105     105       0     107     108
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+     116     117     117       0     119     120     120       0     122     123
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+     131     132     132       0     134     135     135       0     137     138
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+     161     162     162       0     164     165     165       0     167     168
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+     311     312     312       0     314     315     315       0     317     318
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+     356     357     357       0     359     360     360       0     362     363
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+     371     372     372       0     374     375     375       0     377     378
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+     386     387     387       0     389     390     390       0     392     393
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+     401     402     402       0     404     405     405       0     407     408
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+     416     417     417       0     419     420     420       0     422     423
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+     431     432     432       0     434     435     435       0     437     438
+     438       0     440     441     441       0     443     444     444       0
+     446     447     447       0     449     450     450       0     452     453
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+     468       0     470     471     471       0     473     474     474       0
+     476     477     477       0     479     480     480       0     482     483
+     483       0     485     486     486       0     488     489     489       0
+     491     492     492       0     494     495     495       0     497     498
+     498       0     500     501     501       0     503     504     504       0
+     506     507     507       0     509     510     510       0     512     513
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+     521     522     522       0     524     525     525       0     527     528
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+     536     537     537       0     539     540     540       0     542     543
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+     551     552     552       0     554     555     555       0     557     558
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+     566     567     567       0     569     570     570       0     572     573
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+     596     597     597       0     599     600     600       0     602     603
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+     716     717     717       0     719     720     720       0     722     723
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+     791     792     792       0     794     795     795       0     797     798
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+     806     807     807       0     809     810     810       0     812     813
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+     821     822     822       0     824     825     825       0     827     828
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+     836     837     837       0     839     840     840       0     842     843
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+     851     852     852       0     854     855     855       0     857     858
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+     866     867     867       0     869     870     870       0     872     873
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+     881     882     882       0     884     885     885       0     887     888
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+     896     897     897       0     899     900     900       0     902     903
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+     911     912     912       0     914     915     915       0     917     918
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+     926     927     927       0     929     930     930       0     932     933
+     933       0     935     936     936       0     938     939     939       0
+     941     942     942       0     944     945     945       0     947     948
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+     956     957     957       0     959     960     960       0     962     963
+     963       0     965     966     966       0     968     969     969       0
+     971     972     972       0     974     975     975       0     977     978
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+     986     987     987       0     989     990     990       0     992     993
+     993       0     995     996     996       0     998     999     999       0
+    1001    1002    1002       0    1004    1005    1005       0    1007    1008
+    1008       0    1010    1011    1011       0    1013    1014    1014       0
+    1016    1017    1017       0    1019    1020    1020       0    1022    1023
+    1023       0    1025    1026    1026       0    1028    1029    1029       0
+    1031    1032    1032       0    1034    1035    1035       0    1037    1038
+    1038       0    1040    1041    1041       0    1043    1044    1044       0
+    1046    1047    1047       0    1049    1050    1050       0    1052    1053
+    1053       0    1055    1056    1056       0    1058    1059    1059       0
+    1061    1062    1062       0    1064    1065    1065       0    1067    1068
+    1068       0    1070    1071    1071       0    1073    1074    1074       0
+    1076    1077    1077       0    1079    1080    1080       0    1082    1083
+    1083       0    1085    1086    1086       0    1088    1089    1089       0
+    1091    1092    1092       0    1094    1095    1095       0    1097    1098
+    1098       0    1100    1101    1101       0    1103    1104    1104       0
+    1106    1107    1107       0    1109    1110    1110       0    1112    1113
+    1113       0    1115    1116    1116       0    1118    1119    1119       0
+    1121    1122    1122       0    1124    1125    1125       0    1127    1128
+    1128       0    1130    1131    1131       0    1133    1134    1134       0
+    1136    1137    1137       0    1139    1140    1140       0    1142    1143
+    1143       0    1145    1146    1146       0    1148    1149    1149       0
+    1151    1152    1152       0    1154    1155    1155       0    1157    1158
+    1158       0    1160    1161    1161       0    1163    1164    1164       0
+    1166    1167    1167       0    1169    1170    1170       0    1172    1173
+    1173       0    1175    1176    1176       0    1178    1179    1179       0
+    1181    1182    1182       0    1184    1185    1185       0    1187    1188
+    1188       0    1190    1191    1191       0    1193    1194    1194       0
+    1196    1197    1197       0    1199    1200    1200       0    1202    1203
+    1203       0    1205    1206    1206       0    1208    1209    1209       0
+    1211    1212    1212       0    1214    1215    1215       0    1217    1218
+    1218       0    1220    1221    1221       0    1223    1224    1224       0
+    1226    1227    1227       0    1229    1230    1230       0    1232    1233
+    1233       0    1235    1236    1236       0    1238    1239    1239       0
+    1241    1242    1242       0    1244    1245    1245       0    1247    1248
+    1248       0    1250    1251    1251       0    1253    1254    1254       0
+    1256    1257    1257       0    1259    1260    1260       0    1262    1263
+    1263       0    1265    1266    1266       0    1268    1269    1269       0
+    1271    1272    1272       0    1274    1275    1275       0    1277    1278
+    1278       0    1280    1281    1281       0    1283    1284    1284       0
+    1286    1287    1287       0    1289    1290    1290       0    1292    1293
+    1293       0    1295    1296    1296       0    1298    1299    1299       0
+    1301    1302    1302       0    1304    1305    1305       0    1307    1308
+    1308       0    1310    1311    1311       0    1313    1314    1314       0
+    1316    1317    1317       0    1319    1320    1320       0    1322    1323
+    1323       0    1325    1326    1326       0    1328    1329    1329       0
+    1331    1332    1332       0    1334    1335    1335       0    1337    1338
+    1338       0    1340    1341    1341       0    1343    1344    1344       0
+    1346    1347    1347       0    1349    1350    1350       0    1352    1353
+    1353       0    1355    1356    1356       0    1358    1359    1359       0
+    1361    1362    1362       0    1364    1365    1365       0    1367    1368
+    1368       0    1370    1371    1371       0    1373    1374    1374       0
+    1376    1377    1377       0    1379    1380    1380       0    1382    1383
+    1383       0    1385    1386    1386       0    1388    1389    1389       0
+    1391    1392    1392       0    1394    1395    1395       0    1397    1398
+    1398       0
+%FLAG HBOND_ACOEF                                                               
+%FORMAT(5E16.8)                                                                 
+  0.00000000E+00
+%FLAG HBOND_BCOEF                                                               
+%FORMAT(5E16.8)                                                                 
+  0.00000000E+00
+%FLAG HBCUT                                                                     
+%FORMAT(5E16.8)                                                                 
+  0.00000000E+00
+%FLAG AMBER_ATOM_TYPE                                                           
+%FORMAT(20a4)                                                                   
+HC  CT  HC  HC  C   O   OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  
+HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  
+HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  OW  HW  HW  
+%FLAG TREE_CHAIN_CLASSIFICATION                                                 
+%FORMAT(20a4)                                                                   
+M   M   E   E   M   E   BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA BLA 
+%FLAG JOIN_ARRAY                                                                
+%FORMAT(10I8)                                                                   
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
+       0       0       0       0       0       0       0       0       0       0
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+%FLAG IROTAT                                                                    
+%FORMAT(10I8)                                                                   
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+%FLAG SOLVENT_POINTERS                                                          
+%FORMAT(3I8)                                                                    
+       1     465       2
+%FLAG ATOMS_PER_MOLECULE                                                        
+%FORMAT(10I8)                                                                   
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+%FLAG BOX_DIMENSIONS                                                            
+%FORMAT(5E16.8)                                                                 
+  9.00000000E+01  2.89118210E+01  2.83700670E+01  2.78156940E+01
+%FLAG RADIUS_SET                                                                
+%FORMAT(1a80)                                                                   
+modified Bondi radii (mbondi)                                                   
+%FLAG RADII                                                                     
+%FORMAT(5E16.8)                                                                 
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+  8.50000000E-01  8.50000000E-01  8.50000000E-01
+%FLAG IPOL                                                                      
+%FORMAT(1I8)                                                                    
+       0
diff --git a/testsuite/MDAnalysisTests/datafiles.py b/testsuite/MDAnalysisTests/datafiles.py
index 61e34009e10..42bd86c17ee 100644
--- a/testsuite/MDAnalysisTests/datafiles.py
+++ b/testsuite/MDAnalysisTests/datafiles.py
@@ -96,6 +96,7 @@
     "PFncdf_Top", "PFncdf_Trj", # Amber ncdf with Positions and Forces
     "PRMcs", # Amber (format, Issue 1331)
     "PRMNCRST", # Amber ncrst with positions/forces/velocities
+    "PRM_NCBOX", "TRJ_NCBOX", # Amber parm7 + nc w/ pos/forces/vels/box
     "PRMNEGATIVE", # Amber negative ATOMIC_NUMBER (Issue 2306)
     "PRMErr1", "PRMErr2", "PRMErr3", # Amber TOP files to check raised errors
     "PQR",  # PQR v1
@@ -347,6 +348,9 @@
 
 PRMNCRST = resource_filename(__name__, 'data/Amber/ace_mbondi3.parm7')
 
+PRM_NCBOX = resource_filename(__name__, 'data/Amber/ace_tip3p.parm7')
+TRJ_NCBOX = resource_filename(__name__, 'data/Amber/ace_tip3p.nc')
+
 PRMNEGATIVE = resource_filename(__name__, 'data/Amber/ace_mbondi3.negative.parm7')
 
 PRMErr1 = resource_filename(__name__, 'data/Amber/ace_mbondi3.error1.parm7')