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.

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.

Package for the definition of biniding sites for iCLIP data

Prediction of Binding Residues in Disordered Regions Based on Protein Embeddings; TUM Master Praktikum Bioinformatics 2022 (Project #3) and Master's Thesis

Benchmarks collection for GRECO TFBS Benchmarking Initiative

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

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

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

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

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.

miRNA target identification in non-model species