P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
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Updated
Jan 12, 2023 - Groovy
P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.
A python toolkit for analysing membrane protein-lipid interactions.
Prediction of binding residues for metal ions, nucleic acids, and small molecules.
Pytorch implementation of BionoiNet, which is a deep learning-based software to classify ligand-binding sites.
Library for prediction of cryptic binding sites
Benchmarks collection for GRECO TFBS Benchmarking Initiative
Ligand-binding site classification with deep graph neural networks.
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Toolkit for integrative analysis RNA's functional sites
Access a Jetbrains YouTrack instance.
Web server for prediction of cryptic binding sites
A proof of concept for my internship. Enter your business name and automatically generate an subdomain for this client, get a SSL certificate and create a http and https binding in IIS
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