MolDock: A New Technique for High-Accuracy Molecular Docking
Top Cited Papers
- 29 April 2006
- journal article
- research article
- Published by American Chemical Society (ACS) in Journal of Medicinal Chemistry
- Vol. 49 (11), 3315-3321
- https://doi.org/10.1021/jm051197e
Abstract
In this article we introduce a molecular docking algorithm called MolDock. MolDock is based on a new heuristic search algorithm that combines differential evolution with a cavity prediction algorithm. The docking scoring function of MolDock is an extension of the piecewise linear potential (PLP) including new hydrogen bonding and electrostatic terms. To further improve docking accuracy, a re-ranking scoring function is introduced, which identifies the most promising docking solution from the solutions obtained by the docking algorithm. The docking accuracy of MolDock has been evaluated by docking flexible ligands to 77 protein targets. MolDock was able to identify the correct binding mode of 87% of the complexes. In comparison, the accuracy of Glide and Surflex is 82% and 75%, respectively. FlexX obtained 58% and GOLD 78% on subsets containing 76 and 55 cases, respectively.Keywords
This publication has 12 references indexed in Scilit:
- Glide: A New Approach for Rapid, Accurate Docking and Scoring. 1. Method and Assessment of Docking AccuracyJournal of Medicinal Chemistry, 2004
- Evaluation of the FLEXX incremental construction algorithm for protein-ligand dockingProteins-Structure Function and Bioinformatics, 1999
- Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy functionJournal of Computational Chemistry, 1998
- Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. CohenJournal of Molecular Biology, 1997
- A comparison of heuristic search algorithms for molecular docking.Journal of Computer-Aided Molecular Design, 1997
- A Fast Flexible Docking Method using an Incremental Construction AlgorithmJournal of Molecular Biology, 1996
- Satisfying Hydrogen Bonding Potential in ProteinsJournal of Molecular Biology, 1994
- Automated docking of substrates to proteins by simulated annealingProteins-Structure Function and Bioinformatics, 1990
- Validation of the general purpose tripos 5.2 force fieldJournal of Computational Chemistry, 1989
- Optimization by Simulated AnnealingScience, 1983