LipidWrapper: An Algorithm for Generating Large-Scale Membrane Models of Arbitrary Geometry

被引:48
作者
Durrant, Jacob D. [1 ]
Amaro, Rommie E. [1 ]
机构
[1] Univ Calif San Diego, Dept Chem & Biochem, La Jolla, CA 92093 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
MOLECULAR-DYNAMICS SIMULATIONS; NEURAMINIDASE STALK LENGTH; INFLUENZA-VIRUS; RECEPTOR-BINDING; LIPID-BILAYERS; FLIP-FLOP; HEMAGGLUTININ; RESOLUTION; !text type='PYTHON']PYTHON[!/text; GLYCOSYLATION;
D O I
10.1371/journal.pcbi.1003720
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
As ever larger and more complex biological systems are modeled in silico, approximating physiological lipid bilayers with simple planar models becomes increasingly unrealistic. In order to build accurate large-scale models of subcellular environments, models of lipid membranes with carefully considered, biologically relevant curvature will be essential. In the current work, we present a multi-scale utility called LipidWrapper capable of creating curved membrane models with geometries derived from various sources, both experimental and theoretical. To demonstrate its utility, we use LipidWrapper to examine an important mechanism of influenza virulence. A copy of the program can be downloaded free of charge under the terms of the open-source FreeBSD License from http://nbcr.ucsd.edu/lipidwrapper. LipidWrapper has been tested on all major computer operating systems.
引用
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页数:11
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