Predicting properties of intrinsically unstructured proteins

被引:68
作者
Bright, JN
Woolf, TB
Hoh, JH
机构
[1] Johns Hopkins Univ, Sch Med, Dept Physiol, Baltimore, MD 21205 USA
[2] Johns Hopkins Univ, Sch Med, Dept Biophys, Baltimore, MD 21205 USA
[3] Johns Hopkins Univ, Sch Med, Dept Biomed Engn, Baltimore, MD 21205 USA
[4] Johns Hopkins Univ, Dept Chem Engn, Baltimore, MD 21218 USA
关键词
polymer theory; protein structure;
D O I
10.1016/S0079-6107(01)00012-8
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
There is increasing evidence that intrinsically unstructured proteins or protein domains have important biological functions. These types of proteins may be productively analyzed using polymer theory developed to predict global physical properties of polymers. In these theories molecular detail is "coarse grained" out of the models, and replaced with a small number of parameters that characterize the polymer. This reduction in complexity allows extremely large systems to be studied. In the case of simulations, the time scales accessible also increase significantly. Here we discuss the application of polymer theory to unstructured proteins, and consider how to classify proteins within a polymer framework. We then review polymer theory that is relevant to predicting functionally important properties, such as radius of gyration., height of a polymer brush and force required to compress a polymer brush. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:131 / 173
页数:43
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