Discover transcription factor (TF) binding specificities/sites (TFBS) using binding site motif sequence and structural information.
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Updated
Jun 17, 2024 - Python
Discover transcription factor (TF) binding specificities/sites (TFBS) using binding site motif sequence and structural information.
Toolkit for integrative analysis RNA's functional sites
Web server for prediction of cryptic binding sites
miRNA target identification in non-model species
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Prediction of Binding Residues in Disordered Regions Based on Protein Embeddings; TUM Master Praktikum Bioinformatics 2022 (Project #3) and Master's Thesis
Ligand-binding site classification with deep graph neural networks.
Library for prediction of cryptic binding sites
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.
A python toolkit for analysing membrane protein-lipid interactions.
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