High-resolution global peptide-protein docking using fragments-based PIPER-FlexPepDock

被引:107
作者
Alam, Nawsad [1 ]
Goldstein, Oriel [2 ]
Xia, Bing [3 ]
Porter, Kathryn A. [3 ]
Kozakov, Dima [4 ,5 ,6 ]
Schueler-Furman, Ora [1 ]
机构
[1] Hebrew Univ Jerusalem, Dept Microbiol & Mol Genet, Inst Med Res Israel Canada, Fac Med, Jerusalem, Israel
[2] Hebrew Univ Jerusalem, Sch Comp Sci & Engn, Jerusalem, Israel
[3] Boston Univ, Dept Biomed Engn, Boston, MA 02215 USA
[4] SUNY Stony Brook, Dept Appl Math & Stat, Stony Brook, NY 11794 USA
[5] SUNY Stony Brook, Laufer Ctr Phys & Quantitat Biol, Stony Brook, NY 11794 USA
[6] SUNY Stony Brook, Inst Adv Computat Sci, Stony Brook, NY 11794 USA
基金
美国国家科学基金会; 欧洲研究理事会;
关键词
CRYSTAL-STRUCTURES; BINDING-SITES; STRUCTURE PREDICTION; ATOMIC-LEVEL; BLIND; DATABASE; OPTIMIZATION; RECOGNITION; COMPLEXES; RESOURCE;
D O I
10.1371/journal.pcbi.1005905
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Peptide-protein interactions contribute a significant fraction of the protein-protein interactome. Accurate modeling of these interactions is challenging due to the vast conformational space associated with interactions of highly flexible peptides with large receptor surfaces. To address this challenge we developed a fragment based high-resolution peptide-protein docking protocol. By streamlining the Rosetta fragment picker for accurate peptide fragment ensemble generation, the PIPER docking algorithm for exhaustive fragment-receptor rigidbody docking and Rosetta FlexPepDock for flexible full-atom refinement of PIPER docked models, we successfully addressed the challenge of accurate and efficient global peptideprotein docking at high-resolution with remarkable accuracy, as validated on a small but representative set of peptide-protein complex structures well resolved by X-ray crystallography. Our approach opens up the way to high-resolution modeling of many more peptide-protein interactions and to the detailed study of peptide-protein association in general. PIPER-FlexPepDock is freely available to the academic community as a server at http://piperfpd. furmanlab.cs.huji.ac.il.
引用
收藏
页数:20
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