Generalized Fragment Picking in Rosetta: Design, Protocols and Applications

被引:136
作者
Gront, Dominik [1 ]
Kulp, Daniel W. [2 ]
Vernon, Robert M. [3 ]
Strauss, Charlie E. M. [2 ]
Baker, David [4 ]
机构
[1] Univ Warsaw, Fac Chem, Warsaw, Poland
[2] Los Alamos Natl Lab, Biosci Div, Los Alamos, NM USA
[3] Hosp Sick Children, Program Mol Struct & Funct, Toronto, ON M5G 1X8, Canada
[4] Univ Washington, Howard Hughes Med Inst, Dept Biochem, Seattle, WA 98195 USA
来源
PLOS ONE | 2011年 / 6卷 / 08期
关键词
PROTEIN-STRUCTURE PREDICTION;
D O I
10.1371/journal.pone.0023294
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The Rosetta de novo structure prediction and loop modeling protocols begin with coarse grained Monte Carlo searches in which the moves are based on short fragments extracted from a database of known structures. Here we describe a new object oriented program for picking fragments that greatly extends the functionality of the previous program (nnmake) and opens the door for new approaches to structure modeling. We provide a detailed description of the code design and architecture, highlighting its modularity, and new features such as extensibility, total control over the fragment picking workflow and scoring system customization. We demonstrate that the program provides at least as good building blocks for ab-initio structure prediction as the previous program, and provide examples of the wide range of applications that are now accessible.
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页数:10
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