Expanding the toolkit for membrane protein modeling in Rosetta

被引:25
|
作者
Leman, Julia Koehler [1 ,2 ]
Mueller, Benjamin K. [3 ,4 ]
Gray, Jeffrey J. [1 ]
机构
[1] Johns Hopkins Univ, Dept Chem & Biomol Engn, Baltimore, MD 21218 USA
[2] Simons Ctr Data Anal, Simons Fdn, New York, NY 10001 USA
[3] Vanderbilt Univ, Dept Chem, Nashville, TN 37221 USA
[4] Vanderbilt Univ, Struct Biol Ctr, Nashville, TN 37221 USA
关键词
PREDICTION; DESIGN;
D O I
10.1093/bioinformatics/btw716
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: A range of membrane protein modeling tools has been developed in the past 5-10 years, yet few of these tools are integrated and make use of existing functionality for soluble proteins. To extend existing methods in the Rosetta biomolecular modeling suite for membrane proteins, we recently implemented RosettaMP, a general framework for membrane protein modeling. While RosettaMP facilitates implementation of new methods, addressing real-world biological problems also requires a set of accessory tools that are used to carry out standard modeling tasks. Results: Here, we present six modeling tools, including de novo prediction of single trans-membrane helices, making mutations and refining the structure with different amounts of flexibility, transforming a protein into membrane coordinates and optimizing its embedding, computing a Rosetta energy score, and visualizing the protein in the membrane bilayer. We present these methods with complete protocol captures that allow non-expert modelers to carry out the computations.
引用
收藏
页码:754 / 756
页数:3
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