PRODIGY-LIG
PRODIGY-LIG predicts binding affinities of protein–small ligand complexes using atomic-level contact analysis of protein–ligand interfaces.
Key Features:
- Predictive Methodology: Employs atomic contacts and structural properties derived from protein–ligand interfaces to estimate binding affinity.
- Performance: Demonstrated top performance in blind testing, including the D3R Grand Challenge 2 where it predicted binding affinities for 102 protein–ligand complexes.
- Residue-to-Atomic Adaptation: Adapts residue-based contact analysis from PRODIGY for protein–protein complexes to atomic-level evaluations tailored to small ligands.
Scientific Applications:
- Drug discovery: Prioritizes and ranks small-molecule candidates by predicted binding affinity to protein targets.
- Molecular interaction analysis: Characterizes interaction dynamics between proteins and small molecules using interface-derived structural metrics.
- Computational benchmarking: Serves in benchmarking and validation of affinity predictors with blind-test datasets such as D3R Grand Challenge 2.
Methodology:
Performs atomic-contact-based analysis of protein–ligand interfaces using structural properties derived from the interface.
Topics
Collections
Details
- License:
- Apache-2.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, command-line tool, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/9/2019
- Last Updated:
- 6/16/2020
Operations
Publications
Vangone A, Schaarschmidt J, Koukos P, Geng C, Citro N, Trellet ME, Xue LC, Bonvin AMJJ. Large-scale prediction of binding affinity in protein–small ligand complexes: the PRODIGY-LIG web server. Bioinformatics. 2018;35(9):1585-1587. doi:10.1093/bioinformatics/bty816. PMID:31051038.
PMID: 31051038
Funding: - European: 675858, H2020
- BioExcel: 675728
- NWO: 718.015.001
- ASDI eScience: 027016G04
- Netherlands Organization for Scientific Research: 722.014.005
- China Scholarship Council: 201406220132
- Marie Skłodowska-Curie Individual: BAP-659025, H2020 MSCA-IF-2015
Documentation
Downloads
Links
Issue tracker
https://github.com/haddocking/prodigy-lig/issues