Trainable PyTorch framework for developing protein, RNA and complex models.
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Updated
Nov 13, 2024 - Python
Trainable PyTorch framework for developing protein, RNA and complex models.
CryoREAD: a computational tool using deep learning to automatically build full DNA/RNA atomic structure from cryo-EM map.
Software for predicting translation initiation rates in bacteria
Script to facilitate the making of horizontal scripts
Python implementation of Nussinov RNA folding algorithm and recursive backtrack.
[NeurIPS 2024] A Multi-task Benchmark Dataset for Nanopore Sequencing.
Multiscale dataset of non-coding RNA structures, including sequences, secondary structures, non-canonical interactions, 3D geometrical descriptors, and sequence homology.
[ICPR 2024] Knowledge from Large-Scale Protein Contact Prediction Models can be Transferred to the Data-Scarce RNA Contact Prediction Task
This is the official codebase for RESM: Capturing sequence and structure encoding of RNAs by mapped transfer learning from ESM (evolutionary scale modeling) protein language model
RNA/DNA 3D structure alignment tool
Library for processing RNA structures using PDB, DSSR and other data
Construct atomistic (AA) model from Three-Interaction-Site (TIS) coarse-grained model of RNA/DNA
Bialignment of RNAs and proteins
sticky finder for "sticky" RNA sequence identification
Solving RNA Folding Problems with Linear/Integer Programming
A quantum algorithm (Quantum Annealing Based) for prediciting RNA secondary structure for small sequences like those of miRNA. This was compared with the classical algorithm ViennaRNA
Adaptation of RNAdegformer and RiNALMo to predict RNA degradation likelihood
Architecture of Large Projects in Bioinformatics (University project)
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