A python toolkit for analysing membrane protein-lipid interactions.
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Updated
Apr 17, 2023 - Python
A python toolkit for analysing membrane protein-lipid interactions.
Prediction of binding residues for metal ions, nucleic acids, and small molecules.
Library for prediction of cryptic binding sites
Pytorch implementation of BionoiNet, which is a deep learning-based software to classify ligand-binding sites.
Ligand-binding site classification with deep graph neural networks.
Prediction of Binding Residues in Disordered Regions Based on Protein Embeddings; TUM Master Praktikum Bioinformatics 2022 (Project #3) and Master's Thesis
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Toolkit for integrative analysis RNA's functional sites
Web server for prediction of cryptic binding sites
Discover transcription factor (TF) binding specificities/sites (TFBS) using binding site motif sequence and structural information.
miRNA target identification in non-model species
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