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PARASECT

Welcome to PARASECT: Predictive Algorithm for Resolving A-domain Specificity featurising Enzyme and Compound in Tandem. Detect NRPS AMP-binding domains from an amino acid sequence and predict their substrate specificity profile.

Web application

You can find a live version of the web application here.

Database

Browse the data that PARAS and PARASECT were trained on here.

Data submission

Do you have new datapoints that you think PARAS/PARASECT could benefit from in future versions? Submit your data here.

Trained models

The trained models for PARAS and PARASECT can be found on Zenodo here.

Command line installation

To install PARAS/PARASECT on the command line, run:

conda create -n paras python=3.9
conda activate paras

pip install paras
conda install -c bioconda hmmer
conda install -c bioconda hmmer2
conda install -c bioconda muscle==3.8.1551

For usage instructions, see our wiki. Note that the command line tool will download the models from zenodo upon the first run.

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Predictive Algorithm for Resolving A-domain Specificity by featurising Enzyme and Compound in Tandem

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