P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.

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

Package for the definition of biniding sites for iCLIP data

Benchmarks collection for GRECO TFBS Benchmarking Initiative

SI data repository for the SILCS-Hotspots / druggable sites paper

ForkedTF is an R-library that introduces Forked-PMW (FPMW) and Forked-Sequence Logos (F-Logos) to provide a more comprehensive depiction of the sequence affinity of a Transcription factor (TF) of interest, including its DNA sequence and DNA methylation level, along with a segregated list of partner TFs.

Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".

RBP-Tar is a web server for the retrieval of experimentally derived binding sites for hundreds of RNA Binding Proteins on the human genome.

Access a Jetbrains YouTrack instance.

Toolkit for integrative analysis RNA's functional sites

Identification of Protein-Ligand Binding Sites using dipolar EPR data

Web server for prediction of cryptic binding sites

Plot position weight matrices (PWM)

Plot position weight matrices (PWM)

Discover transcription factor (TF) binding specificities/sites (TFBS) using binding site motif sequence and structural information.