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
Aug 3, 2024 - 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.
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
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
Web server for prediction of cryptic binding sites
Plot position weight matrices (PWM)
Discover transcription factor (TF) binding specificities/sites (TFBS) using binding site motif sequence and structural information.
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
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