Large-scale prediction of binding affinity in protein-small ligand complexes: The PRODIGY-LIG web server

Publication date

2019-05-01

Authors

Vangone, A.ISNI 0000000506294764
Schaarschmidt, JoergISNI 0000000506048061
Koukos, PanagiotisISNI 0000000492900320
Geng, C.ISNI 000000050599841X
Citro, Nevia
Trellet, MikaelISNI 0000000455501793
Xue, LiISNI 0000000506297551
Bonvin, A.M.J.J.ORCID 0000-0001-7369-1322ISNI 0000000396501354

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Article
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Abstract

Recently we published PROtein binDIng enerGY (PRODIGY), a web-server for the prediction of binding affinity in protein-protein complexes. By using a combination of simple structural properties, such as the residue-contacts made at the interface, PRODIGY has demonstrated a top performance compared with other state-of-the-art predictors in the literature. Here we present an extension of it, named PRODIGY-LIG, aimed at the prediction of affinity in protein-small ligand complexes. The predictive method, properly readapted for small ligand by making use of atomic instead of residue contacts, has been successfully applied for the blind prediction of 102 protein- ligand complexes during the D3R Grand Challenge 2. PRODIGY-LIG has the advantage of being simple, generic and applicable to any kind of protein-ligand complex. It provides an automatic, fast and user-friendly tool ensuring broad accessibility.

Keywords

Statistics and Probability, Biochemistry, Molecular Biology, Computer Science Applications, Computational Theory and Mathematics, Computational Mathematics

Citation

Vangone, A, Schaarschmidt, J, Koukos, P, Geng, C, Citro, N, Trellet, M E, Xue, L C & Bonvin, A M J J 2019, 'Large-scale prediction of binding affinity in protein-small ligand complexes : The PRODIGY-LIG web server', Bioinformatics, vol. 35, no. 9, pp. 1585-1587. https://doi.org/10.1093/bioinformatics/bty816