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通过相关运动实现的结构和熵变变构信号转导强度

Structural and Entropic Allosteric Signal Transduction Strength via Correlated Motions.

作者信息

Long Dong, Brüschweiler Rafael

机构信息

Department of Chemistry and Biochemistry and National High Magnetic Field Laboratory, Florida State University, Tallahassee, Florida 32306, United States.

出版信息

J Phys Chem Lett. 2012 Jun 21;3(12):1722-6. doi: 10.1021/jz300488e. Epub 2012 Jun 12.

Abstract

Allosteric signal transduction in biomacromolecules can play an essential role in their function. Internal motional correlations in proteins provide a possible communication mechanism, but the quantitative relationship between statistical correlations and allostery is unknown. Quantitative relationships between internal motional correlations and the efficiency of propagation of allosteric structural and entropic effects are introduced and validated against conformational ensembles obtained from molecular dynamics simulations. This framework can explain a range of phenomena, such as the occurrence of an allosteric entropy change in the absence of any noticeable structural change.

摘要

生物大分子中的变构信号转导在其功能中可能起着至关重要的作用。蛋白质内部的运动相关性提供了一种可能的通讯机制,但统计相关性与变构之间的定量关系尚不清楚。本文引入了内部运动相关性与变构结构和熵效应传播效率之间的定量关系,并根据分子动力学模拟得到的构象系综进行了验证。该框架可以解释一系列现象,比如在没有任何明显结构变化的情况下变构熵变的发生。

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