P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.
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Updated
Aug 31, 2026 - Groovy
P2Rank: Protein-ligand binding site prediction from protein structure based on machine learning.
A Consensus Docking Plugin for PyMOL
NeuralMD for Protein-ligand Binding Simulation, Nature Communicaitons 2025 https://www.nature.com/articles/s41467-025-67808-z
User friendly molecular dynamics simulation combining Modeller, OpenMM and Google Colab: A complete guide
Python snippets for PyMOL to be run in Jupyterlab via the jupyterlab-snippets-multimenus extension.
3D diverse conformers generation using rdkit
AnnapuRNA: a scoring function for predicting RNA-small molecule interactions.
Chemoinformatics tool for ligand-based virtual screening
A program analyzing 3D protein structures from PDB to generate 2D binding motifs
Web application for protein-ligand binding sites analysis and visualization
AutoCorrelation of Pharmacophore Features
[ICLR 2025] CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction
Curated PyMOL configs and scripts for publication-quality rendering.
Project examing sparse deep learning architectures for ligand classification.
ligand-based virtual screening with consensus queries
Molecular Mechanics in OCaml
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