A stochastic model for correlated protein motions

被引：2
作者：
Karain, Wael I. [1 ]
Qaraeen, Nael I.
Ajarmah, Basem
机构：
[1] Birzeit Univ, Dept Phys, POB 14, Ramallah, Palestine
[2] Birzeit Univ, Dept Comp Sci, Ramallah, Palestine
来源：
PHYSICS LETTERS A | 2006年 / 354卷 / 5-6期
关键词：
times series analysis; principal component analysis; protein collective motion; Langevin equation;
D O I：
10.1016/j.physleta.2006.01.073
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
A one-dimensional Langevin-type stochastic difference equation is used to find the deterministic and Gaussian contributions of time series representing the projections of a Bovine Pancreatic Trypsin Inhibitor (BPTI) protein molecular dynamics simulation along different eigenvector directions determined using principal component analysis. The deterministic part shows a distinct nonlinear behavior only for eigenvectors contributing significantly to the collective protein motion. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码：497 / 500
页数：4
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