Protein-protein, protein-peptide and protein-DNA docking framework based on the GSO algorithm

pLM-informed E(3) equivariant deep graph neural networks for protein-nucleic acid binding site prediction

Official Pytorch implementation of CrossBind: Collaborative Cross-Modal Identification of Protein Nucleic-Acid-Binding Residues.

Meganucleases|ZFNs|TALENs|CRISPR-Cas|BaseEditors|PrimeEditor

Prediction of the binding specificity of transcription factors using support vector regression

Single Molecule Footprinting Analysis in Python

Database of HTH-DNA complexes

Plot position weight matrices (PWM)

In this module, you will learn how to perform the bioinformatics analysis of differential chromatin occupancy using data generated by three well-known high-throughput sequencing assaying, including differences between them and integration of chromatin accessibility and differential gene expression

Toolkit for analyzing protein-DNA interfaces using computational methods. Includes Fortran, Python, and shell scripts for processing structural data, calculating interface properties, and visualizing results. Designed for bioinformatics and structural biology research focused on protein-DNA interactions.

Python visualization of single locus SMF data

Matlab, Bash and other codes

Another personal project to learn how to use deep learning for a classification problem