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Volumn 30, Issue 9, 2016, Pages 651-668

D3R grand challenge 2015: Evaluation of protein–ligand pose and affinity predictions

Author keywords

D3R; Docking; Free energy; Ligand; Protein; Scoring

Indexed keywords

BINDING ENERGY; CRYSTAL STRUCTURE; FORECASTING; FREE ENERGY; PROTEINS; STRUCTURAL OPTIMIZATION; TESTING;

EID: 84989159600     PISSN: 0920654X     EISSN: 15734951     Source Type: Journal    
DOI: 10.1007/s10822-016-9946-8     Document Type: Article
Times cited : (173)

References (42)
  • 1
    • 80053330055 scopus 로고    scopus 로고
    • CSAR benchmark exercise of 2010: combined evaluation across all submitted scoring functions
    • COI: 1:CAS:528:DC%2BC3MXhtVylsbzO
    • Smith RD, Dunbar JB Jr, Ung PM et al (2011) CSAR benchmark exercise of 2010: combined evaluation across all submitted scoring functions. J Chem Inf Model 51:2115–2131. doi:10.1021/ci200269q
    • (2011) J Chem Inf Model , vol.51 , pp. 2115-2131
    • Smith, R.D.1    Dunbar, J.B.2    Ung, P.M.3
  • 2
    • 84883209345 scopus 로고    scopus 로고
    • CSAR benchmark exercise 2011–2012: evaluation of results from docking and relative ranking of blinded congeneric series
    • COI: 1:CAS:528:DC%2BC3sXltV2msbg%3D
    • Damm-Ganamet KL, Smith RD, Dunbar JB Jr et al (2013) CSAR benchmark exercise 2011–2012: evaluation of results from docking and relative ranking of blinded congeneric series. J Chem Inf Model 53:1853–1870. doi:10.1021/ci400025f
    • (2013) J Chem Inf Model , vol.53 , pp. 1853-1870
    • Damm-Ganamet, K.L.1    Smith, R.D.2    Dunbar, J.B.3
  • 3
    • 84976347059 scopus 로고    scopus 로고
    • CSAR benchmark exercise 2013: evaluation of results from a combined computational protein design, docking, and scoring/ranking challenge
    • COI: 1:CAS:528:DC%2BC2MXhsFKqs7%2FJ
    • Smith RD, Damm-Ganamet KL, Dunbar JB Jr et al (2016) CSAR benchmark exercise 2013: evaluation of results from a combined computational protein design, docking, and scoring/ranking challenge. J Chem Inf Model 56:1022–1031. doi:10.1021/acs.jcim.5b00387
    • (2016) J Chem Inf Model , vol.56 , pp. 1022-1031
    • Smith, R.D.1    Damm-Ganamet, K.L.2    Dunbar, J.B.3
  • 4
    • 84976522313 scopus 로고    scopus 로고
    • CSAR 2014: a benchmark exercise using unpublished data from pharma
    • Carlson HA, Smith RD, Damm-Ganamet KL et al (2016) CSAR 2014: a benchmark exercise using unpublished data from pharma. J Chem Inf Model 56:1063–1077. doi:10.1021/acs.jcim.5b00523
    • (2016) J Chem Inf Model , vol.56 , pp. 1063-1077
    • Carlson, H.A.1    Smith, R.D.2    Damm-Ganamet, K.L.3
  • 5
    • 33746417580 scopus 로고    scopus 로고
    • Hsp90: a novel target for cancer therapy
    • COI: 1:CAS:528:DC%2BD28Xpt1ejtLo%3D
    • Solit DB, Rosen N (2006) Hsp90: a novel target for cancer therapy. Curr Top Med Chem 6:1205–1214
    • (2006) Curr Top Med Chem , vol.6 , pp. 1205-1214
    • Solit, D.B.1    Rosen, N.2
  • 6
    • 84857994615 scopus 로고    scopus 로고
    • HSP90 inhibition: two-pronged exploitation of cancer dependencies
    • COI: 1:CAS:528:DC%2BC38Xjs1Ggsr8%3D
    • Travers J, Sharp S, Workman P (2012) HSP90 inhibition: two-pronged exploitation of cancer dependencies. Drug Discov Today 17:242–252. doi:10.1016/j.drudis.2011.12.021
    • (2012) Drug Discov Today , vol.17 , pp. 242-252
    • Travers, J.1    Sharp, S.2    Workman, P.3
  • 7
    • 84899541945 scopus 로고    scopus 로고
    • Discovery of selective 4-amino-pyridopyrimidine inhibitors of MAP4K4 using fragment-based lead identification and optimization
    • COI: 1:CAS:528:DC%2BC2cXltFGlsr4%3D
    • Crawford TD, Ndubaku CO, Chen H et al (2014) Discovery of selective 4-amino-pyridopyrimidine inhibitors of MAP4K4 using fragment-based lead identification and optimization. J Med Chem 57:3484–3493. doi:10.1021/jm500155b
    • (2014) J Med Chem , vol.57 , pp. 3484-3493
    • Crawford, T.D.1    Ndubaku, C.O.2    Chen, H.3
  • 8
    • 33746364784 scopus 로고    scopus 로고
    • Structure and mechanism of the Hsp90 molecular chaperone machinery
    • COI: 1:CAS:528:DC%2BD28XosVKhs78%3D
    • Pearl LH, Prodromou C (2006) Structure and mechanism of the Hsp90 molecular chaperone machinery. Annu Rev Biochem 75:271–294. doi:10.1146/annurev.biochem.75.103004.142738
    • (2006) Annu Rev Biochem , vol.75 , pp. 271-294
    • Pearl, L.H.1    Prodromou, C.2
  • 9
    • 0021582448 scopus 로고
    • Ligand-receptor interactions
    • Tembe BL, McCammon JA (1984) Ligand-receptor interactions. Comput Chem 8:281–283. doi:10.1016/0097-8485(84)85020-2
    • (1984) Comput Chem , vol.8 , pp. 281-283
    • Tembre, B.L.1    Mc Cammon, J.A.2
  • 10
    • 84938920129 scopus 로고    scopus 로고
    • Structure-based design of GNE-495, a potent and selective MAP4K4 inhibitor with efficacy in retinal angiogenesis
    • COI: 1:CAS:528:DC%2BC2MXhtVyitLrN
    • Ndubaku CO, Crawford TD, Chen H et al (2015) Structure-based design of GNE-495, a potent and selective MAP4K4 inhibitor with efficacy in retinal angiogenesis. ACS Med Chem Lett 6:913–918. doi:10.1021/acsmedchemlett.5b00174
    • (2015) ACS Med Chem Lett , vol.6 , pp. 913-918
    • Ndubaku, C.O.1    Crawford, T.D.2    Chen, H.3
  • 11
    • 84943201861 scopus 로고    scopus 로고
    • Neuritogenic militarinone-inspired 4-hydroxypyridones target the stress pathway kinase MAP4K4
    • Schroder P, Forster T, Kleine S et al (2015) Neuritogenic militarinone-inspired 4-hydroxypyridones target the stress pathway kinase MAP4K4. AngewChemIntEdEngl 54:12398–12403
    • (2015) AngewChemIntEdEngl , vol.54 , pp. 12398-12403
    • Schroder, P.1    Forster, T.2    Kleine, S.3
  • 12
    • 84906967683 scopus 로고    scopus 로고
    • Fragment-based identification and optimization of a class of potent pyrrolo[2,1-f][1, 2, 4]triazine MAP4K4 inhibitors
    • COI: 1:CAS:528:DC%2BC2cXhtlWmtbrF
    • Wang L, Stanley M, Boggs J et al (2014) Fragment-based identification and optimization of a class of potent pyrrolo[2,1-f][1, 2, 4]triazine MAP4K4 inhibitors. BioorgMedChemLett 24:4546–4552
    • (2014) BioorgMedChemLett , vol.24 , pp. 4546-4552
    • Wang, L.1    Stanley, M.2    Boggs, J.3
  • 13
    • 79959758717 scopus 로고    scopus 로고
    • Understanding the impact of the P-loop conformation on kinase selectivity
    • COI: 1:CAS:528:DC%2BC3MXmsVWls78%3D
    • Guimaraes CR, Rai BK, Munchhof MJ et al (2011) Understanding the impact of the P-loop conformation on kinase selectivity. J Chem Inf Model 51:1199–1204. doi:10.1021/ci200153c
    • (2011) J Chem Inf Model , vol.51 , pp. 1199-1204
    • Guimaraes, C.R.1    Rai, B.K.2    Munchhof, M.J.3
  • 14
    • 34447297884 scopus 로고    scopus 로고
    • Discovery and design of novel HSP90 inhibitors using multiple fragment-based design strategies
    • COI: 1:CAS:528:DC%2BD2sXovFCktrY%3D
    • Huth JR, Park C, Petros AM et al (2007) Discovery and design of novel HSP90 inhibitors using multiple fragment-based design strategies. Chem Biol Drug Des 70:1–12. doi:10.1111/j.1747-0285.2007.00535.x
    • (2007) Chem Biol Drug Des , vol.70 , pp. 1-12
    • Huth, J.R.1    Park, C.2    Petros, A.M.3
  • 15
    • 84883227058 scopus 로고    scopus 로고
    • CSAR data set release 2012: ligands, affinities, complexes, and docking decoys
    • COI: 1:CAS:528:DC%2BC3sXmsFelsbo%3D
    • Dunbar JB Jr, Smith RD, Damm-Ganamet KL et al (2013) CSAR data set release 2012: ligands, affinities, complexes, and docking decoys. J Chem Inf Model 53:1842–1852. doi:10.1021/ci4000486
    • (2013) J Chem Inf Model , vol.53 , pp. 1842-1852
    • Dunbar, J.B.1    Smith, R.D.2    Damm-Ganamet, K.L.3
  • 16
    • 78449271034 scopus 로고    scopus 로고
    • N-aryl-benzimidazolones as novel small molecule HSP90 inhibitors
    • COI: 1:CAS:528:DC%2BC3cXhsVKjtbvP
    • Bruncko M, Tahir SK, Song X et al (2010) N-aryl-benzimidazolones as novel small molecule HSP90 inhibitors. Bioorg Med Chem Lett 20:7503–7506. doi:10.1016/j.bmcl.2010.10.010
    • (2010) Bioorg Med Chem Lett , vol.20 , pp. 7503-7506
    • Bruncko, M.1    Tahir, S.K.2    Song, X.3
  • 17
    • 84906967683 scopus 로고    scopus 로고
    • Fragment-based identification and optimization of a class of potent pyrrolo[2,1-f][1, 2, 4]triazine MAP4K4 inhibitors
    • COI: 1:CAS:528:DC%2BC2cXhtlWmtbrF
    • Wang L, Stanley M, Boggs JW et al (2014) Fragment-based identification and optimization of a class of potent pyrrolo[2,1-f][1, 2, 4]triazine MAP4K4 inhibitors. Bioorg Med Chem Lett 24:4546–4552. doi:10.1016/j.bmcl.2014.07.071
    • (2014) Bioorg Med Chem Lett , vol.24 , pp. 4546-4552
    • Wang, L.1    Stanley, M.2    Boggs, J.W.3
  • 18
    • 84992382400 scopus 로고    scopus 로고
    • Sherbooke St. West, Suite #910, Montreal, QC, Canada
    • Molecular Operating Environment (MOE) 2013.08; Chemical Computing Group Inc., 1010 Sherbooke St. West, Suite #910, Montreal, QC, Canada, H3A 2R7, 2016.
    • H3A 2R7 , pp. 2016
  • 19
    • 80054078285 scopus 로고    scopus 로고
    • A new generation of crystallographic validation tools for the protein data bank
    • COI: 1:CAS:528:DC%2BC3MXhtlejtrnI
    • Read RJ, Adams PD, Arendall WB 3rd et al (2011) A new generation of crystallographic validation tools for the protein data bank. Structure 19:1395–1412. doi:10.1016/j.str.2011.08.006
    • (2011) Structure , vol.19 , pp. 1395-1412
    • Read, R.J.1    Adams, P.D.2    Arendall, W.B.3
  • 20
    • 84973169183 scopus 로고    scopus 로고
    • DCC: a Swiss army knife for structure factor analysis and validation
    • COI: 1:CAS:528:DC%2BC28Xosl2rt7k%3D
    • Yang H, Peisach E, Westbrook JD et al (2016) DCC: a Swiss army knife for structure factor analysis and validation. J Appl Crystallogr 49:1081–1084. doi:10.1107/S1600576716004428
    • (2016) J Appl Crystallogr , vol.49 , pp. 1081-1084
    • Yang, H.1    Peisach, E.2    Westbrook, J.D.3
  • 21
    • 84992321577 scopus 로고    scopus 로고
    • Jun.1 OpenEye Scientific Software, Santa Fe
    • OpenEye Toolkits 2016. Jun.1 OpenEye Scientific Software, Santa Fe, NM. http://www.eyesopen.com
    • (2016) NM
    • Toolkits, O.E.1
  • 22
    • 84902843844 scopus 로고    scopus 로고
    • Blind prediction of HIV integrase binding from the SAMPL4 challenge
    • COI: 1:CAS:528:DC%2BC2cXjsVKqu7Y%3D
    • Mobley DL, Liu S, Lim NM et al (2014) Blind prediction of HIV integrase binding from the SAMPL4 challenge. J Comput Aided Mol Des 28:327–345. doi:10.1007/s10822-014-9723-5
    • (2014) J Comput Aided Mol Des , vol.28 , pp. 327-345
    • Mobley, D.L.1    Liu, S.2    Lim, N.M.3
  • 23
    • 62849109096 scopus 로고    scopus 로고
    • Healthy skepticism: assessing realistic model performance
    • Brown SP, Muchmore SW, Hajduk PJ (2009) Healthy skepticism: assessing realistic model performance. Drug Discov Today 14:420–427
    • (2009) Drug Discov Today , vol.14 , pp. 420-427
    • Brown, S.P.1    Muchmore, S.W.2    Hajduk, P.J.3
  • 24
    • 0028305457 scopus 로고
    • Prediction of Ph-dependent properties of proteins
    • COI: 1:CAS:528:DyaK2cXktVCntbk%3D
    • Antosiewicz J, McCammon JA, Gilson MK (1994) Prediction of Ph-dependent properties of proteins. J Mol Biol 238:415–436. doi:10.1006/jmbi.1994.1301
    • (1994) J Mol Biol , vol.238 , pp. 415-436
    • Antosiewicz, J.1    McCammon, J.A.2    Gilson, M.K.3
  • 25
    • 0028464119 scopus 로고
    • Computer automated log P calculations based on an extended group contribution approach. Computer automated log P calculations based on an extended group contribution approach
    • Klopman G, Li J-Y, Wang S, Dimayuga M (1994) Computer automated log P calculations based on an extended group contribution approach. Computer automated log P calculations based on an extended group contribution approach. J Chem Inf Comput Sci. 34:752–781. doi:10.1021/ci00020a009
    • (1994) J Chem Inf Comput Sci , vol.34 , pp. 752-781
    • Klopman, G.1    Li, J.-Y.2    Wang, S.3    Dimayuga, M.4
  • 26
    • 84884226265 scopus 로고    scopus 로고
    • The Collaborative Drug Discovery (CDD) database
    • COI: 1:CAS:528:DC%2BC3sXhs1OlsbjI
    • Ekins S, Bunin BA (2013) The Collaborative Drug Discovery (CDD) database. Methods Mol Biol 993:139–154. doi:10.1007/978-1-62703-342-8_10
    • (2013) Methods Mol Biol , vol.993 , pp. 139-154
    • Ekins, S.1    Bunin, B.A.2
  • 27
    • 0015861774 scopus 로고
    • Relationship between the inhibition constant (KI) and the concentration of inhibitor which causes 50 per cent inhibition (I50) of an enzymatic reaction
    • Yung-Chi C, Prusoff WH (1973) Relationship between the inhibition constant (KI) and the concentration of inhibitor which causes 50 per cent inhibition (I50) of an enzymatic reaction. Biochem Pharmacol 22:3099–3108. doi:10.1016/0006-2952(73)90196-2
    • (1973) Biochem Pharmacol , vol.22 , pp. 3099-3108
    • Yung-Chi, C.1    Prusoff, W.H.2
  • 28
    • 84899970839 scopus 로고    scopus 로고
    • The SAMPL4 host-guest blind prediction challenge: an overview
    • COI: 1:CAS:528:DC%2BC2cXjs1Ggs74%3D
    • Muddana HS, Fenley AT, Mobley DL, Gilson MK (2014) The SAMPL4 host-guest blind prediction challenge: an overview. J Comput Aided Mol Des 28:305–317. doi:10.1007/s10822-014-9735-1
    • (2014) J Comput Aided Mol Des , vol.28 , pp. 305-317
    • Muddana, H.S.1    Fenley, A.T.2    Mobley, D.L.3    Gilson, M.K.4
  • 29
    • 84944353181 scopus 로고    scopus 로고
    • Activity, assay and target data curation and quality in the ChEMBL database
    • COI: 1:CAS:528:DC%2BC2MXht1aks73N
    • Papadatos G, Gaulton A, Hersey A, Overington JP (2015) Activity, assay and target data curation and quality in the ChEMBL database. J Comput Aided Mol Des 29:885–896. doi:10.1007/s10822-015-9860-5
    • (2015) J Comput Aided Mol Des , vol.29 , pp. 885-896
    • Papadatos, G.1    Gaulton, A.2    Hersey, A.3    Overington, J.P.4
  • 30
    • 77951986384 scopus 로고    scopus 로고
    • Conformer generation with OMEGA: algorithm and validation using high quality structures from the Protein Databank and Cambridge Structural Database
    • COI: 1:CAS:528:DC%2BC3cXjtlaisrY%3D
    • Hawkins PC, Skillman AG, Warren GL et al (2010) Conformer generation with OMEGA: algorithm and validation using high quality structures from the Protein Databank and Cambridge Structural Database. J Chem Inf Model 50:572–584. doi:10.1021/ci100031x
    • (2010) J Chem Inf Model , vol.50 , pp. 572-584
    • Hawkins, P.C.1    Skillman, A.G.2    Warren, G.L.3
  • 31
    • 84977097754 scopus 로고    scopus 로고
    • A pose prediction approach based on ligand 3D shape similarity
    • COI: 1:CAS:528:DC%2BC28XhtFertLfO
    • Kumar A, Zhang KYJ (2016) A pose prediction approach based on ligand 3D shape similarity. J Comput Aided Mol Des 30:457–469. doi:10.1007/s10822-016-9923-2
    • (2016) J Comput Aided Mol Des , vol.30 , pp. 457-469
    • Kumar, A.1    Zhang, K.Y.J.2
  • 32
    • 84982814968 scopus 로고    scopus 로고
    • Prospective evaluation of shape similarity based pose prediction method in D3R Grand Challenge 2015
    • Kumar A, Zhang KYJ (2016) Prospective evaluation of shape similarity based pose prediction method in D3R Grand Challenge 2015. J Comput Aided Mol Des. doi:10.1007/s10822-016-9931-2
    • (2016) J Comput Aided Mol Des
    • Kumar, A.1    Zhang, K.Y.J.2
  • 33
    • 14944348527 scopus 로고    scopus 로고
    • A shape-based 3-D scaffold hopping method and its application to a bacterial protein–protein interaction
    • COI: 1:CAS:528:DC%2BD2MXht1Ols78%3D
    • Rush TS 3rd, Grant JA, Mosyak L, Nicholls A (2005) A shape-based 3-D scaffold hopping method and its application to a bacterial protein–protein interaction. J Med Chem 48:1489–1495. doi:10.1021/jm040163o
    • (2005) J Med Chem , vol.48 , pp. 1489-1495
    • Rush, T.S.1    Grant, J.A.2    Mosyak, L.3    Nicholls, A.4
  • 34
    • 10844286440 scopus 로고    scopus 로고
    • Relationship between multiple sequence alignments and quality of protein comparative models
    • COI: 1:CAS:528:DC%2BD2MXhsFGj
    • Cozzetto D, Tramontano A (2005) Relationship between multiple sequence alignments and quality of protein comparative models. Proteins 58:151–157. doi:10.1002/prot.20284
    • (2005) Proteins , vol.58 , pp. 151-157
    • Cozzetto, D.1    Tramontano, A.2
  • 35
    • 84940183394 scopus 로고    scopus 로고
    • POSIT: flexible shape-guided docking for pose prediction
    • Kelley BP, Brown SP, Warren GL, Muchmore SW (2015) POSIT: flexible shape-guided docking for pose prediction. J Chem Inf Model. 55:1771-80. doi:10.1021/acs.jcim.5b00142
    • (2015) J Chem Inf Model , vol.55 , pp. 1771-1780
    • Kelley, B.P.1    Brown, S.P.2    Warren, G.L.3    Muchmore, S.W.4
  • 36
    • 42649138533 scopus 로고    scopus 로고
    • Assessment of programs for ligand binding affinity prediction
    • COI: 1:CAS:528:DC%2BD1cXlvFWksb0%3D
    • Kim R, Skolnick J (2008) Assessment of programs for ligand binding affinity prediction. J Comput Chem 29:1316–1331. doi:10.1002/jcc.20893
    • (2008) J Comput Chem , vol.29 , pp. 1316-1331
    • Kim, R.1    Skolnick, J.2
  • 37
    • 84882330872 scopus 로고    scopus 로고
    • Efficient determination of protein–protein standard binding free energies from first principles
    • COI: 1:CAS:528:DC%2BC3sXhtFSns7jN
    • Gumbart JC, Roux B, Chipot C (2013) Efficient determination of protein–protein standard binding free energies from first principles. J Chem Theory Comput 9:3789–3798. doi:10.1021/ct400273t
    • (2013) J Chem Theory Comput , vol.9 , pp. 3789-3798
    • Gumbart, J.C.1    Roux, B.2    Chipot, C.3
  • 38
    • 84872165531 scopus 로고    scopus 로고
    • Standard binding free energies from computer simulations: what is the best strategy?
    • COI: 1:CAS:528:DC%2BC38Xhs1ensbnL
    • Gumbart JC, Roux B, Chipot C (2013) Standard binding free energies from computer simulations: what is the best strategy? J Chem Theory Comput 9:794–802. doi:10.1021/ct3008099
    • (2013) J Chem Theory Comput , vol.9 , pp. 794-802
    • Gumbart, J.C.1    Roux, B.2    Chipot, C.3
  • 39
    • 33646725129 scopus 로고    scopus 로고
    • A biochemical rationale for the anticancer effects of Hsp90 inhibitors: slow, tight binding inhibition by geldanamycin and its analogues
    • COI: 1:CAS:528:DC%2BD28XlsVGlurY%3D
    • Gooljarsingh LT, Fernandes C, Yan K et al (2006) A biochemical rationale for the anticancer effects of Hsp90 inhibitors: slow, tight binding inhibition by geldanamycin and its analogues. Proc Natl Acad Sci 103:7625–7630. doi:10.1073/pnas.0602650103
    • (2006) Proc Natl Acad Sci , vol.103 , pp. 7625-7630
    • Gooljarsingh, L.T.1    Fernandes, C.2    Yan, K.3
  • 40
    • 84862192766 scopus 로고    scopus 로고
    • ChEMBL: a large-scale bioactivity database for drug discovery
    • COI: 1:CAS:528:DC%2BC3MXhs12htbjN
    • Gaulton A, Bellis LJ, Bento AP et al (2012) ChEMBL: a large-scale bioactivity database for drug discovery. Nucleic Acids Res 40:D1100–D1107. doi:10.1093/nar/gkr777
    • (2012) Nucleic Acids Res , vol.40 , pp. D1100-D1107
    • Gaulton, A.1    Bellis, L.J.2    Bento, A.P.3
  • 41
    • 33846108633 scopus 로고    scopus 로고
    • BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
    • COI: 1:CAS:528:DC%2BD2sXivFKktg%3D%3D
    • Liu T, Lin Y, Wen X et al (2007) BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities. Nucleic Acids Res 35:D198–D201. doi:10.1093/nar/gkl999
    • (2007) Nucleic Acids Res , vol.35 , pp. D198-D201
    • Liu, T.1    Lin, Y.2    Wen, X.3
  • 42
    • 84979586933 scopus 로고    scopus 로고
    • PubChem substance and compound databases
    • Kim S, Thiessen PA, Bolton EE et al (2016) PubChem substance and compound databases. Nucleic Acids Res 44:D1202–D1213. doi:10.1093/nar/gkv951
    • (2016) Nucleic Acids Res , vol.44 , pp. D1202-D1213
    • Kim, S.1    Thiessen, P.A.2    Bolton, E.E.3


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