FlexE: Using Elastic Network Models to Compare Models of Protein Structure

被引:17
|
作者
Perez, Alberto [1 ]
Yang, Zheng [2 ,3 ]
Bahar, Ivet [2 ,3 ]
Dill, Ken A. [1 ]
MacCallum, Justin L. [1 ]
机构
[1] SUNY Stony Brook, Laufer Ctr Phys & Quantitat Biol, Stony Brook, NY 11794 USA
[2] Univ Pittsburgh, Sch Med, Dept Computat & Syst Biol, Pittsburgh, PA 15213 USA
[3] Univ Pittsburgh, Sch Med, Clin & Translat Sci Inst, Pittsburgh, PA 15213 USA
关键词
PARTICLE MESH EWALD; MOLECULAR-DYNAMICS; STRUCTURE REFINEMENT; INTRINSIC MOTIONS; ALIGNMENT; FLEXIBILITY; ALGORITHM; BINDING; SIMULATIONS;
D O I
10.1021/ct300148f
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
It is often valuable to compare protein structures to determine how similar they are. Structure comparison methods such as RMSD and GDT-TS are based solely on fixed geometry and do not take into account the intrinsic flexibility or energy landscape of the protein. We propose a method, which we call FlexE, that is based on a simple elastic network model and uses the deformation energy as measure of the similarity between two structures. FlexE can distinguish biologically relevant conformational changes from random changes, while existing geometry-based methods cannot. Additionally, FlexE incorporates the concept of thermal energy, which provides a rational way to determine when two models are "the same". FlexE provides a unique measure of the similarity between protein structures that is complementary to existing methods.
引用
收藏
页码:3985 / 3991
页数:7
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