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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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“GOLD (Jones et al., 1997), Autodock4 (Bianco et al., 2016), CovalentDock (Ouyang et al., 2013), CovDock (Zhu et al., 2014), DOCKovalent (London et al., 2014), and DOCK-TITE (Scholz et al., 2015) are some examples of docking programs that developed specific methodologies to deal with covalent-docking.”
From Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges (2018) · cites this paper as Jones et al., 1997
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Cites
Genetic algorithms in search, optimization, and machine learning
(1989) · Choice Reviews Online · doi:10.5860/choice.27-0936 · Cited by 49,178
Adaptation in Natural and Artificial Systems
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,340
Molecular Theory of Gases and Liquids
Hirschfelder, J. O., Curtiss, C. F., & Bird, R. B. (1955) · Physics Today · doi:10.1063/1.3061949 · Cited by 11,445
The protein data bank: A computer-based archival file for macromolecular structures
Bernstein, F. C., Koetzle, T. F., Williams, G. J. B., Meyer, E. F., Brice, M. D., Rodgers, J. R., Kennard, O., Shimanouchi, T., & Tasumi, M. (1977) · Journal of Molecular Biology · doi:10.1016/s0022-2836(77)80200-3 · Cited by 8,574
Molecular theory of gases and liquids
Scott, R. L. (1955) · Journal of Chemical Education · doi:10.1021/ed032p232.2 · Cited by 3,958
Semianalytical treatment of solvation for molecular mechanics and dynamics
Still, W. C., Tempczyk, A., Hawley, R. C., & Hendrickson, T. F. (1990) · Journal of the American Chemical Society · doi:10.1021/ja00172a038 · Cited by 3,653
A Fast Flexible Docking Method using an Incremental Construction Algorithm
Rarey, M., Kramer, B., Lengauer, T., & Klebe, G. (1996) · Journal of Molecular Biology · doi:10.1006/jmbi.1996.0477 · Cited by 2,836
Validation of the general purpose tripos 5.2 force field
Clark, M., CRAMER, R. D. I., & Opdenbosch, N. V. (1989) · Journal of Computational Chemistry · doi:10.1002/jcc.540100804 · Cited by 2,803
Analytical molecular surface calculation
Connolly, M. L. (1983) · Journal of Applied Crystallography · doi:10.1107/s0021889883010985 · Cited by 2,521
A geometric approach to macromolecule-ligand interactions
Kuntz, I. D., Blaney, J. M., Oatley, S. J., Langridge, R., & Ferrin, T. E. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90153-x · Cited by 2,287
Research works printed but not linked: 2
- Dreyer, 1992, Hydroxyethylene isostere inhibitors of human immunodeficiency virus-I protease, Biochemistry, 31
- Padlan, 1985, On the specificity of antibody 3-antigen interactions, Ann. Immunol. (Paris), C136, 271
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Poso, A., & Huffman, J. W. (2007) · British Journal of Pharmacology · doi:10.1038/sj.bjp.0707567 · Cited by 71
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Fukada, H., & Takahashi, K. (1998) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19981101)33:2 · Cited by 313
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Baig, M. H., Jan, A. T., Rabbani, G., Ahmad, K., Ashraf, J. M., Kim, T., Min, H., Lee, Y., Cho, W., Yeul, J., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-06067-5 · Cited by 70
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Stolfa, D. A., Marek, M., Lancelot, J., Hauser, A.-T., Walter, A., Leproult, E., Melesina, J., Rumpf, T., Wurtz, J.-M., Cavarelli, J., et al. (2014) · Journal of Molecular Biology · doi:10.1016/j.jmb.2014.03.007 · Cited by 75
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Zhang, X., Gu, J., Cao, L., Li, N., Ma, Y., Su, Z.-Z., Ding, G., Chen, L., Xu, X., & Xiao, W. (2014) · Molecular BioSystems · doi:10.1039/c4mb00164h · Cited by 69
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Perdih, A., Kovač, A., Wolber, G., Blanot, D., Gobec, S., & Šolmajer, T. (2009) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2009.03.141 · Cited by 69
Tanaka, R., Squires, M. S., Kimura, S. H., Yokota, A., Nagao, R., Yamauchi, T., Takeuchi, M., Yao, H., Reule, M., Smyth, T., et al. (2010) · Blood · doi:10.1182/blood-2009-03-211466 · Cited by 68
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Ridderström, M., Zamora, I., Fjellström, O., & Andersson, T. B. (2001) · Journal of Medicinal Chemistry · doi:10.1021/jm0109107 · Cited by 70
Kemp, C. A., Flanagan, J. U., van Eldik, A. J., Maréchal, J., Wolf, C. R., Roberts, G. C. K., Paine, M. J. I., & Sutcliffe, M. J. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm049934e · Cited by 69
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Chaves, R. P., da Silva, S. R., Neto, L. G. D. N., Carneiro, R. F., da Silva, A. L. C., Sampaio, A. H., de Sousa, B. L., Cabral, M. G., Videira, P. A., Teixeira, E. H., et al. (2017) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2017.09.116 · Cited by 68
Sciortino, G., Rodrı́guez-Guerra, J., Lledós, A., Garribba, E., & Maréchal, J. (2017) · Journal of Computational Chemistry · doi:10.1002/jcc.25080 · Cited by 68
Modeling of metal interaction geometries for protein–ligand docking
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Salcher, S., Spoden, G. A., Hagenbuchner, J., Führer, S., Kaserer, T., Tollinger, M., Huber-Cantonati, P., Gruber, T., Schuster, D., Gust, R., et al. (2019) · Oncogene · doi:10.1038/s41388-019-1044-7 · Cited by 51
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Leu, Y.-L., Chen, C., Wu, Y.-J., & Chern, J. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm701151c · Cited by 67
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Chaput, L., & Mouawad, L. (2017) · Journal of Cheminformatics · doi:10.1186/s13321-017-0227-x · Cited by 70
Kurt, B. Z., Dağ, A., Doğan, B., Durdağı, S., Angeli, A., Nocentini, A., Supuran, C. T., & Sönmez, F. (2019) · Bioorganic Chemistry · doi:10.1016/j.bioorg.2019.03.003 · Cited by 67
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Müller, P., Léna, G., Boilard, É., Bezzine, S., Lambeau, G. J., Guichard, G., & Rognan, D. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm0606589 · Cited by 70
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Frédérick, R., Robert, S., Charlier, C., de Ruyck, J., Wouters, J., Pirotte, B., Masereel, B., & Pochet, L. (2005) · Journal of Medicinal Chemistry · doi:10.1021/jm050448g · Cited by 66
Discovery of novel inhibitors of Trypanosoma cruzi trans-sialidase from in silico screening
Neres, J., Brewer, M. L., Ratier, L., Botti, H., Buschiazzo, A., Edwards, P. N., Mortenson, P. N., Charlton, M. H., Alzari, P. M., Frasch, A. C. C., et al. (2008) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2008.12.065 · Cited by 66
Molecular Docking Studies and Anti-Tyrosinase Activity of Thai Mango Seed Kernel Extract
Nithitanakool, S., Pithayanukul, P., Bavovada, R., & Saparpakorn, P. (2009) · Molecules · doi:10.3390/molecules14010257 · Cited by 66
Rogez‐Florent, T., Meignan, S., Foulon, C. F., Six, P., Gros, A., Mahieu, C., Supuran, C. T., Scozzafava, A., Frédérick, R., Masereel, B., et al. (2012) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2012.10.029 · Cited by 66
Aziz, J., Brachet, E., Hamzé, A., Peyrat, J., Bernadat, G., Morvan, E., Bignon, J. S., Wdzieczak‐Bakala, J., Desravines, D., Dubois, J., et al. (2012) · Organic & Biomolecular Chemistry · doi:10.1039/c2ob26253c · Cited by 66
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Chilingaryan, Z., Zhou, Y., & Oakley, A. J. (2012) · International Journal of Molecular Sciences · doi:10.3390/ijms131012857 · Cited by 66
Zaltariov, M., Hammerstad, M., Arabshahi, H. J., Jovanović, K., Richter, K. W., Cazacu, M., Shova, S. G., Bălan, M., Andersen, N. H., Radulovic, S. S., et al. (2017) · Inorganic Chemistry · doi:10.1021/acs.inorgchem.6b03178 · Cited by 66
Rampogu, S. D., Baek, A., Zeb, A., & Lee, K. W. (2018) · BMC Cancer · doi:10.1186/s12885-018-4050-1 · Cited by 66
Flanagan, J. U., Maréchal, J., Ward, R. J., Kemp, C. A., McLaughlin, L. A., Sutcliffe, M. J., Roberts, G. C. K., Paine, M. J. I., & Wolf, C. R. (2004) · Biochemical Journal · doi:10.1042/bj20040062 · Cited by 66
PSI‐DOCK: Towards highly efficient and accurate flexible ligand docking
Pei, J., Wang, Q., Liu, Z., Li, Q., Yang, K., & Lai, L. (2006) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.20790 · Cited by 68
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Sunseri, J., & Koes, D. (2021) · Molecules · doi:10.3390/molecules26237369 · Cited by 71
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Srivastava, H. K., Chourasia, M., Kumar, D., & Sastry, G. N. (2011) · Journal of Chemical Information and Modeling · doi:10.1021/ci100474n · Cited by 65
Silvestri, R., Cascio, M. G., Regina, G. L., Piscitelli, F., Lavecchia, A., Brizzi, A., Pasquini, S., Botta, M., Novellino, E., Marzo, V. D., et al. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm070566z · Cited by 65
Bey, E., Marchais‐Oberwinkler, S., Kruchten, P., Frotscher, M., Werth, R., Oster, A., Algül, Ö., Neugebauer, A., & Hartmann, R. W. (2008) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2008.04.073 · Cited by 65
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Stanford, S. M., Krishnamurthy, D., Falk, M. D., Messina, R., Debnath, B., Li, S., Liu, T., Kazemi, R., Dahl, R., He, Y., et al. (2011) · Journal of Medicinal Chemistry · doi:10.1021/jm101202j · Cited by 59
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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