Incorporation of Noncanonical Amino Acids into Rosetta and Use in Computational Protein-Peptide Interface Design

被引:91
作者
Renfrew, P. Douglas [1 ,2 ]
Choi, Eun Jung [3 ]
Bonneau, Richard [1 ,2 ]
Kuhlman, Brian [3 ]
机构
[1] NYU, Dept Biol, Ctr Genom & Syst Biol, New York, NY 10003 USA
[2] NYU, Courant Inst Math Sci, Dept Comp Sci, New York, NY 10012 USA
[3] Univ N Carolina, Dept Biochem & Biophys, Chapel Hill, NC USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
SIDE-CHAIN CONFORMATIONS; GLOBULAR PROTEIN; ENERGY FUNCTION; CALPAIN SYSTEM; PREDICTION; CALPASTATIN; INHIBITION; SPECIFICITY; COMPLEXES; RESOURCE;
D O I
10.1371/journal.pone.0032637
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
Noncanonical amino acids (NCAAs) can be used in a variety of protein design contexts. For example, they can be used in place of the canonical amino acids (CAAs) to improve the biophysical properties of peptides that target protein interfaces. We describe the incorporation of 114 NCAAs into the protein-modeling suite Rosetta. We describe our methods for building backbone dependent rotamer libraries and the parameterization and construction of a scoring function that can be used to score NCAA containing peptides and proteins. We validate these additions to Rosetta and our NCAA-rotamer libraries by showing that we can improve the binding of a calpastatin derived peptides to calpain-1 by substituting NCAAs for native amino acids using Rosetta. Rosetta (executables and source), auxiliary scripts and code, and documentation can be found at (http://www.rosettacommons.org/).
引用
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页数:15
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