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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
Citations
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
Flagged first, then by citations
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
Cited by
Sorted by citations
Items 401–500 of 1,019
Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprints
Rácz, A., Bajusz, D., & Héberger, K. (2018) · Journal of Cheminformatics · doi:10.1186/s13321-018-0302-y · Cited by 136
Structural Basis for Allosteric Ligand Recognition in the Human CC Chemokine Receptor 7
Jaeger, K., Brünle, S., Weinert, T., Guba, W., Muehle, J., Miyazaki, T., Weber, M., Furrer, A., Haenggi, N., Tetaz, T., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.028 · Cited by 139
Muegge, I., & Oloff, S. (2006) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2006.12.002 · Cited by 134
Bolognesi, M. L., Banzi, R., Bartolini, M., Cavalli, A., Tarozzi, A., Andrisano, V., Minarini, A., Rosini, M., Tumiatti, V., Bergamini, C., et al. (2007) · Journal of Medicinal Chemistry · doi:10.1021/jm070559a · Cited by 134
Protein−Ligand Docking against Non-Native Protein Conformers
Verdonk, M. L., Mortenson, P. N., Hall, R. J., Hartshorn, M. J., & Murray, C. W. (2008) · Journal of Chemical Information and Modeling · doi:10.1021/ci8002254 · Cited by 137
Reliability and cost optimization for remanufacturing process planning
Jiang, Z., Zhou, T., Zhang, H., Wang, Y., Cao, H., & Tian, G. (2016) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2015.11.037 · Cited by 133
Landon, M. R., Lancia, D. R., Yu, J., Thiel, S., & Vajda, S. (2007) · Journal of Medicinal Chemistry · doi:10.1021/jm061134b · Cited by 135
Zhuang, C., Miao, Z., Zhu, L., Dong, G., Guo, Z., Wang, S., Zhang, Y., Wu, Y., Yao, J., Sheng, C., et al. (2012) · Journal of Medicinal Chemistry · doi:10.1021/jm300969t · Cited by 131
Singh, T., Biswas, D., & Jayaram, B. (2011) · Journal of Chemical Information and Modeling · doi:10.1021/ci200193z · Cited by 133
Discovery of structurally diverse HIV-1 integrase inhibitors based on a chalcone pharmacophore
Deng, J. N., Sanchez, T. W., Al‐Mawsawi, L. Q., Dayam, R., Yunes, R. A., Garofalo, A., Bolger, M. B., & Neamati, N. (2007) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2007.04.041 · Cited by 132
Ligand−Protein DataBase: Linking Protein−Ligand Complex Structures to Binding Data
Roche, O., Kiyama, R., & Brooks, C. L. (2001) · Journal of Medicinal Chemistry · doi:10.1021/jm000467k · Cited by 132
Automatic parameterization of force field by systematic search and genetic algorithms
Wang, J., & Kollman, P. A. (2001) · Journal of Computational Chemistry · doi:10.1002/jcc.1079 · Cited by 132
Prospective Evaluation of Free Energy Calculations for the Prioritization of Cathepsin L Inhibitors
Kuhn, B., Tichý, M., Wang, L., Robinson, S. D., Martin, R. E., Kuglstatter, A., Benz, J., Giroud, M., Schirmeister, T., Abel, R., et al. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.6b01881 · Cited by 132
Docking Performance of Fragments and Druglike Compounds
Verdonk, M. L., Giangreco, I., Hall, R. J., Korb, O., Mortenson, P. N., & Murray, C. W. (2011) · Journal of Medicinal Chemistry · doi:10.1021/jm200558u · Cited by 133
Isothermal titration calorimetry in drug discovery.
Ward, W., & Holdgate, G. (2001) · Progress in Medicinal Chemistry · doi:10.1016/s0079-6468(08)70097-3 · Cited by 128
de Graaf, C., Oostenbrink, C., Keizers, P. H. J., van der Wijst, T., Jongejan, A., & Vermeulen, N. P. E. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm0508538 · Cited by 131
Rochais, C., Lecoutey, C., Gaven, F., Giannoni, P., Hamidouche, K., Hedou, D., Dubost, E., Genest, D., Yahiaoui, S., Freret, T., et al. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b00115 · Cited by 129
Protein docking using a genetic algorithm
Gardiner, E. J., Willett, P., & Artymiuk, P. J. (2001) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.1070 · Cited by 129
Structural basis for the broad-spectrum inhibition of metallo-β-lactamases by thiols
Liénard, B. M. R., Garau, G., Horsfall, L., Karsisiotis, A. I., Damblon, C., Lassaux, P., Papamicaël, C. A., Roberts, G. C. K., Galleni, M., Dideberg, O., et al. (2008) · Organic & Biomolecular Chemistry · doi:10.1039/b802311e · Cited by 129
de Graaf, C., & Rognan, D. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm800710x · Cited by 129
Nayak, M. K., Agrawal, A. S., Bose, S., Naskar, S., Bhowmick, R., Chakrabarti, S., Sarkar, S., & Chawla‐Sarkar, M. (2014) · Journal of Antimicrobial Chemotherapy · doi:10.1093/jac/dkt534 · Cited by 128
Sequence-based drug design as a concept in computational drug design
Chen, L., Fan, Z., Chang, J., Yang, R., Hou, H., Guo, H., Zhang, Y., Yang, T., Zhou, C., Sui, Q., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39856-w · Cited by 135
Kwon, Y., Shin, W., Ko, J., & Lee, J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21228424 · Cited by 132
SODOCK: Swarm optimization for highly flexible protein–ligand docking
Chen, H., Liu, B., Huang, H., Hwang, S., & Ho, S. (2006) · Journal of Computational Chemistry · doi:10.1002/jcc.20542 · Cited by 133
Aalto, K., Autio, A. K., Kiss, E. A., Elima, K., Nymalm, Y., Veres, T. Z., Marttila‐Ichihara, F., Elovaara, H., Saanijoki, T., Crocker, P. R., et al. (2011) · Blood · doi:10.1182/blood-2010-09-311076 · Cited by 127
Genetic and Evolutionary Algorithms
Jones, G. (1998) · Encyclopedia of Computational Chemistry · doi:10.1002/0470845015.cga004 · Cited by 127
Improved Method of Structure-Based Virtual Screening via Interaction-Energy-Based Learning
Yasuo, N., & Sekijima, M. (2019) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.8b00673 · Cited by 126
Regina, G. L., Silvestri, R., Artico, M., Lavecchia, A., Novellino, E., Befani, O., Turini, P., & Agostinelli, E. (2007) · Journal of Medicinal Chemistry · doi:10.1021/jm060882y · Cited by 126
Improving Structure-Based Virtual Screening by Multivariate Analysis of Scoring Data
Jacobsson, M., Lidén, P., Stjernschantz, E., Boström, H., & Norinder, U. (2003) · Journal of Medicinal Chemistry · doi:10.1021/jm030896t · Cited by 129
Krüger, D. M., & Evers, A. (2009) · ChemMedChem · doi:10.1002/cmdc.200900314 · Cited by 125
Pagano, M. A., Poletto, G., Maira, G. D., Cozza, G., Ruzzene, M., Sarno, S., Bain, J., Elliott, M., Moro, S., Zagotto, G., et al. (2006) · ChemBioChem · doi:10.1002/cbic.200600293 · Cited by 127
Pan, S., Mi, Y., Pally, C., Beerli, C., Chen, A. P., Guerini, D., Hinterding, K., Nuesslein‐Hildesheim, B., Tuntland, T., Lefebvre, S., et al. (2006) · Chemistry & Biology · doi:10.1016/j.chembiol.2006.09.017 · Cited by 128
Assessing protein–ligand interaction scoring functions with the CASF-2013 benchmark
Li, Y., Su, M., Liu, Z., Li, J., Liu, J., Han, L., & Wang, R. (2018) · Nature Protocols · doi:10.1038/nprot.2017.114 · Cited by 130
In silico approaches and tools for the prediction of drug metabolism and fate: A review
Kazmi, S. R., Ren, J., Yu, M., Jung, C., & Na, D. (2019) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2019.01.008 · Cited by 128
Design and Synthesis of Novel Indole β-Diketo Acid Derivatives as HIV-1 Integrase Inhibitors
Sechi, M., Derudas, M., Dallocchio, R. N., Dessì, A., Bacchi, A., Sannia, L., Carta, F., Palomba, M., Ragab, O., Chan, C., et al. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm049944f · Cited by 125
Evaluation of PMF Scoring in Docking Weak Ligands to the FK506 Binding Protein
Muegge, I., Martin, Y. C., Hajduk, P. J., & Fesik, S. W. (1999) · Journal of Medicinal Chemistry · doi:10.1021/jm990073x · Cited by 125
Hritz, J., de Ruiter, A., & Oostenbrink, C. (2008) · Journal of Medicinal Chemistry · doi:10.1021/jm801005m · Cited by 124
Rahman, M. M., Saha, T., Islam, K. J., Suman, R. H., Biswas, S., Rahat, E. U., Hossen, M. R., Islam, R., Hossain, M. N., Mamun, A. A., et al. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1794974 · Cited by 124
Structural Elucidation of Chalcone Reductase and Implications for Deoxychalcone Biosynthesis
Bomati, E. K., Austin, M. B., Bowman, M. E., Dixon, R. A., & Noel, J. P. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m502239200 · Cited by 124
The importance of discerning shape in molecular pharmacology
Kortagere, S., Krasowski, M. D., & Ekins, S. (2009) · Trends in Pharmacological Sciences · doi:10.1016/j.tips.2008.12.001 · Cited by 124
Pommery, N., Taverne, T., Telliez, A., Goossens, L., Charlier, C., Pommery, J., Goossens, J., Houssin, R., Durant, F., & Hénichart, J. (2004) · Journal of Medicinal Chemistry · doi:10.1021/jm0407761 · Cited by 124
Kroemer, R. T., Vulpetti, A., McDonald, J. J., Rohrer, D. C., Trosset, J., Giordanetto, F., Cotesta, S., McMartin, C., Kihlén, M., & Stouten, P. F. W. (2004) · Journal of Chemical Information and Computer Sciences · doi:10.1021/ci049970m · Cited by 124
AI-Based Protein Structure Prediction in Drug Discovery: Impacts and Challenges
Schauperl, M., & Denny, R. A. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.2c00026 · Cited by 122
Wei, J., Stebbins, J. L., Kitada, S., Dash, R., Placzek, W. J., Rega, M. F., Wu, B., Cellitti, J. F., Zhai, D., Yang, L., et al. (2010) · Journal of Medicinal Chemistry · doi:10.1021/jm1001265 · Cited by 123
Ohui, K. A., Afanasenko, E., Bacher, F., Ting, R. L. X., Zafar, A., Blanco‐Cabra, N., Torrents, E., Dömötör, O., May, N. V., Darvasiová, D., et al. (2018) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.8b01031 · Cited by 123
Virtual Screening Techniques in Drug Discovery: Review and Recent Applications
Rocha, S. F. L. D. S., Olanda, C. G., Fokoue, H. H., & Sant’Anna, C. M. R. (2019) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026619666190816101948 · Cited by 126
Spyrakis, F., & Cavasotto, C. N. (2015) · Archives of Biochemistry and Biophysics · doi:10.1016/j.abb.2015.08.002 · Cited by 124
New techniques and strategies in drug discovery
Du, J., Guo, J., Kang, D., Li, Z., Wang, G., Wu, J., Zhang, Z., Fang, H., Hou, X., Huang, Z., et al. (2020) · Chinese Chemical Letters · doi:10.1016/j.cclet.2020.03.028 · Cited by 124
Day, J. M., Tutill, H. J., Purohit, A., & Reed, M. J. (2008) · Endocrine Related Cancer · doi:10.1677/erc-08-0042 · Cited by 123
Analytical shape computation of macromolecules: II. Inaccessible cavities in proteins
Liang, J., Edelsbrunner, H., Fu, P., Pamidighantam, S. V., & Subramaniam, S. (1998) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19981001)33:1 · Cited by 172
Shape Signatures: A New Approach to Computer-Aided Ligand- and Receptor-Based Drug Design
Zauhar, R. J., Moyna, G., Tian, L., Li, Z., & Welsh, W. J. (2003) · Journal of Medicinal Chemistry · doi:10.1021/jm030242k · Cited by 121
Lessons in Molecular Recognition. 2. Assessing and Improving Cross-Docking Accuracy
Sutherland, J. J., Nandigam, R. K., Erickson, J. A., & Vieth, M. (2007) · Journal of Chemical Information and Modeling · doi:10.1021/ci700253h · Cited by 127
Sharp, K. H., Schneider, S., Cockayne, A., & Paoli, M. (2007) · Journal of Biological Chemistry · doi:10.1074/jbc.m700234200 · Cited by 120
Induced-fit docking studies of the active and inactive states of protein tyrosine kinases
Zhong, H. A., Tran, L. M., & Stang, J. L. (2009) · Journal of Molecular Graphics and Modelling · doi:10.1016/j.jmgm.2009.08.012 · Cited by 120
Acoplamiento Molecular: Avances Recientes y Retos
Prieto-Martínez, F. D., Arciniega, M., & Medina‐Franco, J. L. (2018) · TIP Revista Especializada en Ciencias Químico-Biológicas · doi:10.22201/fesz.23958723e.2018.0.143 · Cited by 140
In silico molecular docking in DNA aptamer development
Navien, T. N., Thevendran, R., Hamdani, H. Y., Tang, T., & Citartan, M. (2020) · Biochimie · doi:10.1016/j.biochi.2020.10.005 · Cited by 123
Scoring functions for protein–ligand interactions: a critical perspective
Schulz‐Gasch, T., & Ståhl, M. (2004) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2004.08.004 · Cited by 127
Morán, Ó., Galietta, L. J. V., & Zegarra‐Moran, O. (2005) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-004-4422-3 · Cited by 120
Sperling, O., Fuchs, A., & Lindhorst, T. K. (2006) · Organic & Biomolecular Chemistry · doi:10.1039/b610745a · Cited by 120
A knowledge-based scoring function for protein-ligand interactions: Probing the reference state
Muegge, I. (2000) · Perspectives in Drug Discovery and Design · doi:10.1023/a:1008729005958 · Cited by 120
The dependence of amino acid pair correlations on structural environment
Cootes, A. P., Curmi, P. M. G., Cunningham, R. B., Donnelly, C. F., & Torda, A. E. (1998) · Proteins Structure Function and Bioinformatics · doi:10.1002/(sici)1097-0134(19980801)32:2 · Cited by 49
CSAR Data Set Release 2012: Ligands, Affinities, Complexes, and Docking Decoys
Dunbar, J. B., Smith, R. D., Damm‐Ganamet, K. L., Ahmed, A., Esposito, E. X., Delproposto, J., Chinnaswamy, K., Kang, Y.-N., Kubish, G. M., Gestwicki, J. E., et al. (2013) · Journal of Chemical Information and Modeling · doi:10.1021/ci4000486 · Cited by 121
Çavdar, H., Şentürk, M., Güney, M., Durdağı, S., Kayık, G., Supuran, C. T., & Ekinci, D. (2019) · Journal of Enzyme Inhibition and Medicinal Chemistry · doi:10.1080/14756366.2018.1543288 · Cited by 121
ConsDock: A new program for the consensus analysis of protein–ligand interactions
Paul, N., & Rognan, D. (2002) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.10119 · Cited by 120
Varshney, A., Rehan, M., Subbarao, N., Rabbani, G., & Khan, R. H. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017230 · Cited by 118
Chaput, L., Martinez‐Sanz, J., Saettel, N., & Mouawad, L. (2016) · Journal of Cheminformatics · doi:10.1186/s13321-016-0167-x · Cited by 118
SFCscore: Scoring functions for affinity prediction of protein–ligand complexes
Sotriffer, C., Sanschagrin, P. C., Matter, H., & Klebe, G. (2008) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.22058 · Cited by 121
Dong, G., Chen, W., Wang, X., Yang, X., Xu, T., Wang, P., Zhang, W., Rao, Y., Miao, C., & Sheng, C. (2017) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.7b00467 · Cited by 117
Molecular docking-based computational platform for high-throughput virtual screening
Zhang, B., Li, H., Yu, K., & Jin, Z. (2022) · CCF Transactions on High Performance Computing · doi:10.1007/s42514-021-00086-5 · Cited by 132
Kumar, M., Singh, A. K., Singh, V. K., Yadav, R. K., Singh, A. P., & Singh, S. K. (2024) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2024.215663 · Cited by 119
Grienke, U., Schmidtke, M., Kirchmair, J., Pfarr, K., Wutzler, P., Dürrwald, R., Wolber, G., Liedl, K. R., Stuppner, H., & Rollinger, J. M. (2009) · Journal of Medicinal Chemistry · doi:10.1021/jm901440f · Cited by 117
Hido, S., & Kashima, H. (2009) · Proceedings · doi:10.1109/icdm.2009.30 · Cited by 117
Ibrahim, S. S., Riveron, J. M., Bibby, J., Irving, H., Yunta, C., Paine, M. J. I., & Wondji, C. S. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005618 · Cited by 114
Namasivayam, V., & Günther, R. (2007) · Chemical Biology & Drug Design · doi:10.1111/j.1747-0285.2007.00588.x · Cited by 116
Jain, A. N. (2000) · Journal of Computer-Aided Molecular Design · doi:10.1023/a:1008100132405 · Cited by 116
The Structure of Human SULT1A1 Crystallized with Estradiol
Gamage, N. U., Tsvetanov, S., Duggleby, R. G., McManus, M. E., & Martin, J. L. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m508289200 · Cited by 116
Outstanding challenges in protein–ligand docking and structure‐based virtual screening
Waszkowycz, B., Clark, D. E., & Gancia, E. (2011) · Wiley Interdisciplinary Reviews Computational Molecular Science · doi:10.1002/wcms.18 · Cited by 117
Nagamine, N., & Sakakibara, Y. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm266 · Cited by 116
Potent Antimalarial Activity of Histone Deacetylase Inhibitor Analogues
Andrews, K. T., Tran, T. N., Lucke, A. J., Kahnberg, P., Le, G. T., Boyle, G. M., Gardiner, D. L., Skinner‐Adams, T. S., & Fairlie, D. P. (2008) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00757-07 · Cited by 116
Homoki, J. R., Nemes, A., Fazekas, E., Gyémánt, G., Balogh, P., Gal, F., Al‐Asri, J., Mortier, J., Wolber, G., Babinszky, L., et al. (2015) · Food Chemistry · doi:10.1016/j.foodchem.2015.07.130 · Cited by 115
Wang, G., Li, C., He, L., Lei, K., Wang, F., Pu, Y., Yang, Z., Cao, D., Ma, L., Chen, J., et al. (2014) · Bioorganic & Medicinal Chemistry · doi:10.1016/j.bmc.2014.02.028 · Cited by 115
A survey on artificial intelligence assurance
Batarseh, F. A., Freeman, L., & Huang, C. (2021) · Journal Of Big Data · doi:10.1186/s40537-021-00445-7 · Cited by 132
Srivastava, H. K., & Sastry, G. N. (2012) · Journal of Chemical Information and Modeling · doi:10.1021/ci300385h · Cited by 115
Lu, Y., Nikolovska‐Coleska, Z., Fang, X., Gao, W., Shangary, S. K., Qiu, S., Qin, D., & Wang, S. (2006) · Journal of Medicinal Chemistry · doi:10.1021/jm060023+ · Cited by 116
Total Synthesis and Biological Evaluation of the Nakijiquinones
Stahl, P., Kissau, L., Mazitschek, R., Huwe, A., Furet, P., Giannis, A., & Waldmann, H. (2001) · Journal of the American Chemical Society · doi:10.1021/ja011413i · Cited by 115
Improved Ligand-Protein Binding Affinity Predictions Using Multiple Binding Modes
Stjernschantz, E., & Oostenbrink, C. (2010) · Biophysical Journal · doi:10.1016/j.bpj.2010.02.034 · Cited by 119
Drug Screen Targeted at Plasmodium Liver Stages Identifies a Potent Multistage Antimalarial Drug
da Cruz, F. P., Martin, C., Buchholz, K., Lafuente-Monasterio, M. J., Rodrigues, T., Sönnichsen, B., Moreira, R., Gamo, F., Marti, M., Mota, M. M., et al. (2012) · The Journal of Infectious Diseases · doi:10.1093/infdis/jis184 · Cited by 114
Rodrigues, D. A., Ferreira‐Silva, G. Á., Ferreira, A. C. S., Fernandes, R. A., Kwee, J. K., Sant’Anna, C. M. R., Ionta, M., & Fraga, C. A. M. (2015) · Journal of Medicinal Chemistry · doi:10.1021/acs.jmedchem.5b01525 · Cited by 116
In silico approach in reveal traditional medicine plants pharmacological material basis
Yi, F., Li, L., Xu, L., Meng, H., Dong, Y., Liu, H.-B., & Xiao, P. (2018) · Chinese Medicine · doi:10.1186/s13020-018-0190-0 · Cited by 118
Parallelization of Molecular Docking: A Review
Dong, D., Xu, Z., Zhong, W., & Peng, S. (2018) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026618666180821145215 · Cited by 118
Sánchez‐Cruz, N., Medina‐Franco, J. L., Mestres, J., & Barril, X. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa982 · Cited by 114
Chen, Z., Li, H., Zhang, Q., Bao, X.-G., Yu, K., Luo, X., Zhu, W., & Jiang, H. (2009) · Acta Pharmacologica Sinica · doi:10.1038/aps.2009.159 · Cited by 117
Antidiabetic activity of N-(6-substituted-1,3-benzothiazol-2-yl)benzenesulfonamides
Moreno‐Díaz, H., Villalobos‐Molina, R., Ortíz‐Andrade, R., Dı́az-Coutiño, D., Medina‐Franco, J. L., Webster, S. P., Binnie, M., Estrada-Soto, S. E., Ibarra-Barajas, M., León‐Rivera, I., et al. (2008) · Bioorganic & Medicinal Chemistry Letters · doi:10.1016/j.bmcl.2008.03.086 · Cited by 114
Protein/Ligand Binding Free Energies Calculated with Quantum Mechanics/Molecular Mechanics
Gräter, F., Schwarzl, S. M., Dejaegere, A. P., Fischer, S., & Smith, J. C. (2005) · The Journal of Physical Chemistry B · doi:10.1021/jp044185y · Cited by 116
Binding and Hydrolysis of Soman by Human Serum Albumin
Li, B., Nachon, F., Froment, M.-T., Verdier, L., Debouzy, J. C., Brasme, B., Gillon, É., Schopfer, L. M., Lockridge, O., & Masson, P. (2007) · Chemical Research in Toxicology · doi:10.1021/tx700339m · Cited by 114
Characterization of inhibitors and substrates of Anopheles gambiae CYP6Z2
McLaughlin, L. A., Niazi, U. H. K., Bibby, J., David, J., VONTAS, J. G., Hemingway, J., Ranson, H., Sutcliffe, M. J., & Paine, M. J. I. (2008) · Insect Molecular Biology · doi:10.1111/j.1365-2583.2007.00788.x · Cited by 114
In silico virtual screening approaches for anti-viral drug discovery
Murgueitio, M. S., Bermúdez, M., Mortier, J., & Wolber, G. (2012) · Drug Discovery Today Technologies · doi:10.1016/j.ddtec.2012.07.009 · Cited by 118
Pierri, C. L., Parisi, G., & Porcelli, V. (2010) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2010.04.008 · Cited by 115
Combinatorial Computational Approaches to Identify Tetracycline Derivatives as Flavivirus Inhibitors
Yang, J., Chen, Y.-F., Tu, Y.-Y., Yen, K.-R., & Yang, Y.-L. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000428 · Cited by 114
Kato, C. G., Corrêa, R. C. G., Lima, D. D. S., de Sá‐Nakanishi, A. B., Gonçalves, G. D. A., Seixas, F. A. V., Haminiuk, C. W. I., Barros, L., Ferreira, I. C. F. R., Bracht, A., et al. (2020) · Food Research International · doi:10.1016/j.foodres.2020.109462 · Cited by 138
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review