Blind prediction of interfacial water positions in CAPRI

被引:38
作者
Lensink, Marc F. [1 ]
Moal, Iain H. [2 ]
Bates, Paul A. [2 ]
Kastritis, Panagiotis L. [3 ]
Melquiond, Adrien S. J. [3 ]
Karaca, Ezgi [3 ]
Schmitz, Christophe [3 ]
van Dijk, Marc [3 ]
Bonvin, Alexandre M. J. J. [3 ]
Eisenstein, Miriam [4 ]
Jimenez-Garcia, Brian [5 ]
Grosdidier, Solene [5 ]
Solernou, Albert [5 ]
Perez-Cano, Laura [5 ]
Pallara, Chiara [5 ]
Fernandez-Recio, Juan [5 ]
Xu, Jianqing [6 ]
Muthu, Pravin [7 ]
Kilambi, Krishna Praneeth [6 ]
Gray, Jeffrey J. [6 ,7 ]
Grudinin, Sergei [8 ]
Derevyanko, Georgy [8 ]
Mitchell, Julie C. [9 ]
Wieting, John [9 ]
Kanamori, Eiji [10 ]
Tsuchiya, Yuko [11 ]
Murakami, Yoichi [12 ]
Sarmiento, Joy [13 ]
Standley, Daron M. [13 ]
Shirota, Matsuyuki [14 ]
Kinoshita, Kengo [14 ]
Nakamura, Haruki [11 ]
Chavent, Matthieu [15 ]
Ritchie, David W. [16 ]
Park, Hahnbeom [17 ]
Ko, Junsu [17 ]
Lee, Hasup [17 ]
Seok, Chaok [17 ]
Shen, Yang [18 ,19 ]
Kozakov, Dima [20 ]
Vajda, Sandor [20 ]
Kundrotas, Petras J. [21 ,22 ]
Vakser, Ilya A. [21 ,22 ]
Pierce, Brian G. [23 ]
Hwang, Howook [23 ]
Vreven, Thom [23 ]
Weng, Zhiping [23 ]
Buch, Idit [24 ]
Farkash, Efrat [25 ]
Wolfson, Haim J. [25 ]
机构
[1] Univ Lille North France, Interdisciplinary Res Inst, CNRS USR3078, F-59658 Villeneuve Dascq, France
[2] Canc Res UK London Res Inst, Biomol Modelling Lab, London WC2A 3LY, England
[3] Univ Utrecht, Bijvoet Ctr Biomol Res, Fac Sci Chem, NL-3584 CH Utrecht, Netherlands
[4] Weizmann Inst Sci, IL-76100 Rehovot, Israel
[5] Barcelona Supercomp Ctr, Joint BSC IRB Res Programme Computat Biol, Dept Life Sci, Barcelona 08034, Spain
[6] Johns Hopkins Univ, Dept Chem & Biomol Engn, Baltimore, MD 21218 USA
[7] Johns Hopkins Univ, Program Mol Biophys, Baltimore, MD 21218 USA
[8] INRIA Rhone Alpes Res Ctr, NANO D, F-38054 Grenoble, France
[9] Univ Wisconsin, Madison, WI 53703 USA
[10] Japan Biol Informat Consortium, Tokyo, Japan
[11] Osaka Univ, Inst Prot Res, Osaka, Japan
[12] Natl Inst Biomed Innovat, Osaka, Japan
[13] Osaka Univ, Syst Immunol Lab, WPI Immunol Frontier Res Ctr IFReC, Osaka, Japan
[14] Tohoku Univ, Grad Sch Informat Sci, Tohoku, Japan
[15] Univ Paris Diderot, CNRS UPR9080, Lab Biochim Theor, Sorbonne Paris Cite, Paris, France
[16] INRIA Nancy Grand Est, F-54600 Villers Les Nancy, France
[17] Seoul Natl Univ, Dept Chem, Seoul, South Korea
[18] MIT, Dept Biol Engn & Comp Sci, Cambridge, MA 02139 USA
[19] MIT, Artificial Intelligence Lab, Cambridge, MA 02139 USA
[20] Boston Univ, Biomol Engn Res Ctr, Boston, MA 02215 USA
[21] Univ Kansas, Ctr Bioinformat, Lawrence, KS 66045 USA
[22] Univ Kansas, Dept Mol Biosci, Lawrence, KS 66045 USA
[23] Univ Massachusetts, Sch Med, Program Bioinformat & Integrat Biol, Worcester, MA 01605 USA
[24] Tel Aviv Univ, Dept Human Mol Genet & Biochem, Sackler Inst Mol Med, Sackler Fac Med, IL-69978 Tel Aviv, Israel
[25] Tel Aviv Univ, Blavatnik Sch Comp Sci, Raymond & Beverly Sackler Fac Exact Sci, IL-69978 Tel Aviv, Israel
[26] Tech Univ Munich, Phys Dept T38, D-85748 Garching, Germany
[27] Florida State Univ, Dept Phys, Tallahassee, FL 32306 USA
[28] Florida State Univ, Inst Mol Biophys, Tallahassee, FL 32306 USA
[29] Univ Missouri, Dept Phys & Astron, Dalton Cardiovasc Res Ctr, Columbia, MO 65211 USA
[30] Univ Missouri, Inst Informat, Columbia, MO 65211 USA
[31] Univ Missouri, Dept Biochem, Dalton Cardiovasc Res Ctr, Columbia, MO 65211 USA
[32] Univ Oxford, Dept Biochem, Oxford OX1 3QU, England
[33] Hosp Sick Children, Toronto, ON M5K 1X8, Canada
[34] Univ Toronto, Dept Biochem, Toronto, ON, Canada
[35] Univ Toronto, Dept Mol Genet, Toronto, ON, Canada
基金
美国国家科学基金会; 英国生物技术与生命科学研究理事会;
关键词
protein interface; blind prediction; CAPRI; protein docking; water; FAVORABLE BINDING-SITES; PROTEIN-PROTEIN INTERACTIONS; HYDROGEN-BOND FUNCTIONS; LIGAND PROBE GROUPS; MOLECULAR-DYNAMICS; DOCKING; RECOGNITION; HYDRATION; COMPLEXES; NETWORKS;
D O I
10.1002/prot.24439
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
We report the first assessment of blind predictions of water positions at protein-protein interfaces, performed as part of the critical assessment of predicted interactions (CAPRI) community-wide experiment. Groups submitting docking predictions for the complex of the DNase domain of colicin E2 and Im2 immunity protein (CAPRI Target 47), were invited to predict the positions of interfacial water molecules using the method of their choice. The predictions-20 groups submitted a total of 195 models-were assessed by measuring the recall fraction of water-mediated protein contacts. Of the 176 high- or medium-quality docking models-a very good docking performance per se-only 44% had a recall fraction above 0.3, and a mere 6% above 0.5. The actual water positions were in general predicted to an accuracy level no better than 1.5 angstrom, and even in good models about half of the contacts represented false positives. This notwithstanding, three hotspot interface water positions were quite well predicted, and so was one of the water positions that is believed to stabilize the loop that confers specificity in these complexes. Overall the best interface water predictions was achieved by groups that also produced high-quality docking models, indicating that accurate modelling of the protein portion is a determinant factor. The use of established molecular mechanics force fields, coupled to sampling and optimization procedures also seemed to confer an advantage. Insights gained from this analysis should help improve the prediction of protein-water interactions and their role in stabilizing protein complexes. Proteins 2014; 82:620-632. (c) 2013 Wiley Periodicals, Inc.
引用
收藏
页码:620 / 632
页数:13
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