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Volumn 56, Issue 2, 2004, Pages 235-249

A detailed comparison of current docking and scoring methods on systems of pharmaceutical relevance

Author keywords

ChemScore; Drug like; Enrichment factors; Glide; Glide Score; GOLD; ICM; OPLS AA; Test set; Virtual screening

Indexed keywords

DOCKING PROTEIN; MITOGEN ACTIVATED PROTEIN KINASE P38; PROTEINASE;

EID: 3042806401     PISSN: 08873585     EISSN: None     Source Type: Journal    
DOI: 10.1002/prot.20088     Document Type: Article
Times cited : (431)

References (40)
  • 1
    • 0035765452 scopus 로고    scopus 로고
    • Small molecule docking and scoring
    • Lipkowitz KB, Boyd DB, editors. New York: Wiley-VCH
    • Muegge I, Rarey M. Small molecule docking and scoring. In: Lipkowitz KB, Boyd DB, editors. Reviews in computational chemistry. Vol. 17. New York: Wiley-VCH; 2001.
    • (2001) Reviews in Computational Chemistry , vol.17
    • Muegge, I.1    Rarey, M.2
  • 3
    • 0036606483 scopus 로고    scopus 로고
    • Principles of docking: An overview of search algorithms and a guide to scoring functions
    • Halperin I, Ma B, Wolfson H, Nussinov R. Principles of docking: An overview of search algorithms and a guide to scoring functions. Proteins 2002;47:409-443.
    • (2002) Proteins , vol.47 , pp. 409-443
    • Halperin, I.1    Ma, B.2    Wolfson, H.3    Nussinov, R.4
  • 5
    • 0036007208 scopus 로고    scopus 로고
    • Virtual screening and fast automated docking methods
    • Schneider G, Bohm HJ. Virtual screening and fast automated docking methods. Drug Discov Today 2002;7:64-70.
    • (2002) Drug Discov Today , vol.7 , pp. 64-70
    • Schneider, G.1    Bohm, H.J.2
  • 6
    • 0035829446 scopus 로고    scopus 로고
    • Evaluation of docking functions for protein-ligand docking
    • Perez C, Ortiz AR. Evaluation of docking functions for protein-ligand docking. J Med Chem 2001;44:3768-3785.
    • (2001) J Med Chem , vol.44 , pp. 3768-3785
    • Perez, C.1    Ortiz, A.R.2
  • 7
    • 0034649618 scopus 로고    scopus 로고
    • Protein-based virtual screening of chemical databases: 1. Evaluation of different docking/scoring combinations
    • Bissantz C, Folkers G, Rognan D. Protein-based virtual screening of chemical databases: 1. Evaluation of different docking/scoring combinations. J Med Chem 2000;43:4759-4767.
    • (2000) J Med Chem , vol.43 , pp. 4759-4767
    • Bissantz, C.1    Folkers, G.2    Rognan, D.3
  • 8
    • 0035966871 scopus 로고    scopus 로고
    • Detailed analysis of scoring functions for virtual screening
    • Stahl M, Rarey M. Detailed analysis of scoring functions for virtual screening. J Med Chem 2001;44:1035-1042.
    • (2001) J Med Chem , vol.44 , pp. 1035-1042
    • Stahl, M.1    Rarey, M.2
  • 9
    • 0033576680 scopus 로고    scopus 로고
    • Consensus scoring: A method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins
    • Charifson PS, Corkery JJ, Murcko MA, Walters WP. Consensus scoring: a method for obtaining improved hit rates from docking databases of three-dimensional structures into proteins. J Med Chem 1999;42:5100-5109.
    • (1999) J Med Chem , vol.42 , pp. 5100-5109
    • Charifson, P.S.1    Corkery, J.J.2    Murcko, M.A.3    Walters, W.P.4
  • 11
    • 0032226476 scopus 로고    scopus 로고
    • Development of filter functions for protein-ligand docking
    • Stahl M, Bohm HJ. Development of filter functions for protein-ligand docking. J Mol Graph Model 1998;16:121-132.
    • (1998) J Mol Graph Model , vol.16 , pp. 121-132
    • Stahl, M.1    Bohm, H.J.2
  • 13
    • 0035025191 scopus 로고    scopus 로고
    • DOCK 4.0: Search strategies for automated molecular docking of flexible molecule databases
    • Ewing TJ, Makino S, Skillman AG, Kuntz ID. DOCK 4.0: search strategies for automated molecular docking of flexible molecule databases. J Comput Aided Mol Des 2001;15:411-428.
    • (2001) J Comput Aided Mol Des , vol.15 , pp. 411-428
    • Ewing, T.J.1    Makino, S.2    Skillman, A.G.3    Kuntz, I.D.4
  • 14
    • 0030599010 scopus 로고    scopus 로고
    • A fast flexible docking method using an incremental construction algorithm
    • Rarey M, Kramer B, Lengauer T, Klebe G. A fast flexible docking method using an incremental construction algorithm. J Mol Biol 1996;261:470-489.
    • (1996) J Mol Biol , vol.261 , pp. 470-489
    • Rarey, M.1    Kramer, B.2    Lengauer, T.3    Klebe, G.4
  • 15
    • 0031552362 scopus 로고    scopus 로고
    • Development and validation of a genetic algorithm for flexible docking
    • Jones G, Willett P, Glen RC, Leach AR, Taylor R. Development and validation of a genetic algorithm for flexible docking. J Mol Biol 1997;267:727-748.
    • (1997) J Mol Biol , vol.267 , pp. 727-748
    • Jones, G.1    Willett, P.2    Glen, R.C.3    Leach, A.R.4    Taylor, R.5
  • 17
    • 0036606204 scopus 로고    scopus 로고
    • ConsDock: A new program for the consensus analysis of protein-ligand interactions
    • Paul N, Rognan D. ConsDock: a new program for the consensus analysis of protein-ligand interactions. Proteins 2002;47:521-533.
    • (2002) Proteins , vol.47 , pp. 521-533
    • Paul, N.1    Rognan, D.2
  • 18
    • 0036589890 scopus 로고    scopus 로고
    • Structure-based approaches to drug design and virtual screening
    • Waszkowycz B. Structure-based approaches to drug design and virtual screening. Curr Opin Drug Discov Devel 2002;5:407-413.
    • (2002) Curr Opin Drug Discov Devel , vol.5 , pp. 407-413
    • Waszkowycz, B.1
  • 20
    • 0037235881 scopus 로고    scopus 로고
    • Virtual screening to enrich hit lists from high-throughput screening: A case study on small-molecule inhibitors of angiogenin
    • Jenkins JL, Kao RY, Shapiro R. Virtual screening to enrich hit lists from high-throughput screening: a case study on small-molecule inhibitors of angiogenin. Proteins 2003;50:81-93.
    • (2003) Proteins , vol.50 , pp. 81-93
    • Jenkins, J.L.1    Kao, R.Y.2    Shapiro, R.3
  • 22
    • 0032738842 scopus 로고    scopus 로고
    • Evaluation of the FLEXX incremental construction algorithm for protein-ligand docking
    • Kramer B, Rarey M, Lengauer T. Evaluation of the FLEXX incremental construction algorithm for protein-ligand docking. Proteins 1999;37:228-241.
    • (1999) Proteins , vol.37 , pp. 228-241
    • Kramer, B.1    Rarey, M.2    Lengauer, T.3
  • 24
    • 0031302358 scopus 로고    scopus 로고
    • Flexible protein-ligand docking by global energy optimization in internal coordinates
    • Totrov M, Abagyan R. Flexible protein-ligand docking by global energy optimization in internal coordinates. Proteins 1997;Suppl 1:215-220.
    • (1997) Proteins , Issue.SUPPL. 1 , pp. 215-220
    • Totrov, M.1    Abagyan, R.2
  • 25
    • 25144445530 scopus 로고    scopus 로고
    • New York: Schrodinger
    • Glide 2.5. New York: Schrodinger; 2003.
    • (2003) Glide 2.5
  • 26
    • 0035416126 scopus 로고    scopus 로고
    • High-throughput docking for lead generation
    • Abagyan R, Totrov M. High-throughput docking for lead generation. Curr Opin Chem Biol 2001;5:375-382.
    • (2001) Curr Opin Chem Biol , vol.5 , pp. 375-382
    • Abagyan, R.1    Totrov, M.2
  • 27
    • 3042749813 scopus 로고    scopus 로고
    • Available online at www.schrodinger.com/docs/2003_1/pdf/firstdiscovery/ fd27_technical_notes.pdf
  • 28
    • 0031226772 scopus 로고    scopus 로고
    • Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes
    • Eldridge MD, Murray CW, Auton TR, Paolini GV, Mee RP. Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes. J Comput Aided Mol Des 1997; 11:425-445.
    • (1997) J Comput Aided Mol Des , vol.11 , pp. 425-445
    • Eldridge, M.D.1    Murray, C.W.2    Auton, T.R.3    Paolini, G.V.4    Mee, R.P.5
  • 29
    • 0032153192 scopus 로고    scopus 로고
    • Empirical scoring functions: II. The testing of an empirical scoring function for the prediction of ligand-receptor binding affinities and the use of Bayesian regression to improve the quality of the model
    • Murray CW, Auton TR, Eldridge MD. Empirical scoring functions: II. The testing of an empirical scoring function for the prediction of ligand-receptor binding affinities and the use of Bayesian regression to improve the quality of the model. J Comput Aided Mol Des 1998;12:503-519.
    • (1998) J Comput Aided Mol Des , vol.12 , pp. 503-519
    • Murray, C.W.1    Auton, T.R.2    Eldridge, M.D.3
  • 30
    • 0038185582 scopus 로고    scopus 로고
    • Binding site characteristics in structure-based virtual screening: Evaluation of current docking tools
    • Schulz-Gasch T, Stahl M. Binding site characteristics in structure-based virtual screening: evaluation of current docking tools. J Mol Model (Online) 2003;9:47-57.
    • (2003) J Mol Model (Online) , vol.9 , pp. 47-57
    • Schulz-Gasch, T.1    Stahl, M.2
  • 31
    • 0035950051 scopus 로고    scopus 로고
    • Ligand-protein database: Linking protein-ligand complex structures to binding data
    • Roche O, Kiyama R, Brooks CL III. Ligand-protein database: linking protein-ligand complex structures to binding data. J Med Chem 2001;44:3592-3598.
    • (2001) J Med Chem , vol.44 , pp. 3592-3598
    • Roche, O.1    Kiyama, R.2    Brooks III, C.L.3
  • 33
    • 0029912748 scopus 로고    scopus 로고
    • Development and testing of the OPLS all-atom force field on conformational energetics and properties of organic liquids
    • Jorgensen WL, Maxwell D, Tirado-Rives J. Development and testing of the OPLS all-atom force field on conformational energetics and properties of organic liquids. J Am Chem Soc 1996;118: 11225-11236.
    • (1996) J Am Chem Soc , vol.118 , pp. 11225-11236
    • Jorgensen, W.L.1    Maxwell, D.2    Tirado-Rives, J.3
  • 35
    • 0001731773 scopus 로고
    • Energy parameters in polypeptides: 10. Improved geometrical parameters and nonbonded interactions for use in the ECEPP/3 algorithm, with application to proline-containing peptides
    • Nemethy G, Gibson KD, Palmer KA, Yoon CN, Paterlini G, Zagari A, Rumsey S, Scheraga HA. Energy parameters in polypeptides: 10. Improved geometrical parameters and nonbonded interactions for use in the ECEPP/3 algorithm, with application to proline-containing peptides. J Phys Chem 1992;96:6472-6484.
    • (1992) J Phys Chem , vol.96 , pp. 6472-6484
    • Nemethy, G.1    Gibson, K.D.2    Palmer, K.A.3    Yoon, C.N.4    Paterlini, G.5    Zagari, A.6    Rumsey, S.7    Scheraga, H.A.8
  • 36
    • 31444452744 scopus 로고
    • Automatic generation of 3D-atomic coordinates for organic molecules
    • Gasteiger J, Rudolph C, Sadowski J. Automatic generation of 3D-atomic coordinates for organic molecules. Tetrahedrom Comp Method 1990;3:537-547.
    • (1990) Tetrahedrom Comp Method , vol.3 , pp. 537-547
    • Gasteiger, J.1    Rudolph, C.2    Sadowski, J.3
  • 37
    • 0037571112 scopus 로고    scopus 로고
    • Merck molecular force field: I. Basis, form, scope, paramaterization, and performance of MMFF94
    • Halgren TA, Merck molecular force field: I. Basis, form, scope, paramaterization, and performance of MMFF94. J Comput Chem 1996;17:490-519.
    • (1996) J Comput Chem , vol.17 , pp. 490-519
    • Halgren, T.A.1
  • 38
    • 0011134241 scopus 로고    scopus 로고
    • Merck molecular force field: II. MMFF94 van der Waals and electrostatic parameters for intermolecular interactions
    • Halgren TA. Merck molecular force field: II. MMFF94 van der Waals and electrostatic parameters for intermolecular interactions. J Comput Chem 1996;17:520-552.
    • (1996) J Comput Chem , vol.17 , pp. 520-552
    • Halgren, T.A.1
  • 39
    • 0011143599 scopus 로고    scopus 로고
    • Merck molecular force field: III. Molecular geometries and vibrational frequences for MMFF94
    • Halgren TA. Merck molecular force field: III. Molecular geometries and vibrational frequences for MMFF94. J Comput Chem 1996;17:553-586.
    • (1996) J Comput Chem , vol.17 , pp. 553-586
    • Halgren, T.A.1
  • 40
    • 0038576410 scopus 로고    scopus 로고
    • Derivation of sensitive discrimination potential for virtual ligand screening
    • Lyon, France, April 11-14, 1999; Istrail S, Pevzner P, Waterman M, eds. Association for Computing Machinery, New York
    • Totrov M, Abagyan R. Derivation of sensitive discrimination potential for virtual ligand screening. In: RECOMB '99: Proceedings of the Third Annual International Conference on Computational Molecular Biology, Lyon, France, April 11-14, 1999; Istrail S, Pevzner P, Waterman M, eds. Association for Computing Machinery, New York; 1999.
    • (1999) RECOMB '99: Proceedings of the Third Annual International Conference on Computational Molecular Biology
    • Totrov, M.1    Abagyan, R.2


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