Cited by 6,763Computational Drug Discovery MethodsProtein Structure and DynamicsProtein Interaction Studies and Fluorescence Analysis

The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.

Development and validation of a genetic algorithm for flexible docking 1 1Edited by F. E. Cohen

Abstract

Prediction of small molecule binding modes to macromolecules of known three-dimensional structure is a problem of paramount importance in rational drug design (the "docking" problem). We report the development and validation of the program GOLD (Genetic Optimisation for Ligand Docking). GOLD is an automated ligand docking program that uses a genetic algorithm to explore the full range of ligand conformational flexibility with partial flexibility of the protein, and satisfies the fundamental requirement that the ligand must displace loosely bound water on binding. Numerous enhancements and modifications have been applied to the original technique resulting in a substantial increase in the reliability and the applicability of the algorithm. The advanced algorithm has been tested on a dataset of 100 complexes extracted from the Brookhaven Protein DataBank. When used to dock the ligand back into the binding site, GOLD achieved a 71% success rate in identifying the experimental binding mode.

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Crossref · 10.1006/jmbi.1996.0897

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87 of 87 references verified0 citation errors · 0 not checkable

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Research works printed but not linked: 2

  1. Dreyer, 1992, Hydroxyethylene isostere inhibitors of human immunodeficiency virus-I protease, Biochemistry, 31
  2. Padlan, 1985, On the specificity of antibody 3-antigen interactions, Ann. Immunol. (Paris), C136, 271

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Metadata

Authors
Jones, G., Willett, P., Glen, R. C., Leach, A. R., & Taylor, R.
Affiliations
  • University of Sheffield (GB)
  • Wellcome Trust (GB)
  • Cambridge Crystallographic Data Centre (GB)
Corresponding author
Jones, Gareth
Venue
Journal of Molecular Biology
Publisher
Elsevier BV
Published
1997-04
Volume
267
Issue
3
Pages
727-748
ISSN
0022-2836 (ISSN-L)
OpenAlex
W2050456292
Cited by
6,763
References
87
Citations by year
2026: 244 · 2025: 332 · 2024: 356 · 2023: 361 · 2022: 383 · 2021: 414 · 2020: 394 · 2019: 351 · 2018: 327 · 2017: 270 · 2016: 248 · 2015: 234 · 2014: 237 · 2013: 248 · 2012: 274
Type
book review
Language
en
Open access
closed
Locations
  • Journal of Molecular Biology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Interaction Studies and Fluorescence Analysis
Keywords
protein-ligand docking, genetic algorithm, flexible docking, protein-ligand complex, ligand conformational flexibility, rational drug design, binding mode prediction
MeSH terms
Algorithms, Binding Sites, Computer Simulation, Humans, Ligands, Models, Genetic, Models, Molecular, NADP, Protein Binding, Protein Conformation, Proteins, Tetrahydrofolate Dehydrogenase, Crystallography, X-Ray

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