Plot position weight matrices (PWM)
-
Updated
Sep 30, 2024 - Julia
Plot position weight matrices (PWM)
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.
Plot position weight matrices (PWM)
SI data repository for the SILCS-Hotspots / druggable sites paper
RBP-Tar is a web server for the retrieval of experimentally derived binding sites for hundreds of RNA Binding Proteins on the human genome.
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.
Library for prediction of cryptic binding sites
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
Web server for prediction of cryptic binding sites
miRNA target identification in non-model species
Ligand-binding site classification with deep graph neural networks.
Benchmarks collection for GRECO TFBS Benchmarking Initiative
Discover transcription factor (TF) binding specificities/sites (TFBS) using binding site motif sequence and structural information.
A python toolkit for analysing membrane protein-lipid interactions.
Toolkit for integrative analysis RNA's functional 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
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.
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Add a description, image, and links to the binding-sites topic page so that developers can more easily learn about it.
To associate your repository with the binding-sites topic, visit your repo's landing page and select "manage topics."