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源自融合数据的蛋白质侧链构象熵——与其他经验尺度的比较。

Protein side-chain conformational entropy derived from fusion data--comparison with other empirical scales.

作者信息

Sternberg M J, Chickos J S

机构信息

Biomolecular Modelling Laboratory, Imperial Cancer Research Fund, London, UK.

出版信息

Protein Eng. 1994 Feb;7(2):149-55. doi: 10.1093/protein/7.2.149.

Abstract

The loss of conformational entropy of protein side-chains is a major effect in the energetics of folding. The simplest approach is to enumerate the number of freely rotatable bonds. Recently, two scales of side-chain conformational entropy have been proposed based on the definition of entropy as the Boltzmann sampling over all accessible states (S = -R sigma p(i)lnp(i), where p(i) is the probability of being in a rotameric state). In one scale, derived only for aliphatic and aromatic side-chains, the values of p(i) were obtained from Monte Carlo simulations. In the other scale, the observed frequencies of different rotameric states in a database of protein crystal structures yielded an estimate for p(i). Here an empirical estimation of the fusion entropy of the side-chains is used to derive a third scale. The fusion entropy is obtained as a sum of empirically derived contributions from component hydrocarbon and functional groups. There is a good agreement between the fusion scale and the other two scales. This suggests that the magnitude of conformational entropy is being correctly established.

摘要

蛋白质侧链构象熵的损失是折叠能量学中的一个主要影响因素。最简单的方法是枚举可自由旋转键的数量。最近,基于熵的定义(即对所有可及状态进行玻尔兹曼采样,(S = -R\sum p(i)\ln p(i)),其中(p(i))是处于某一旋转异构体状态的概率),提出了两种侧链构象熵的标度。在一种标度中,仅针对脂肪族和芳香族侧链推导得出,(p(i))的值通过蒙特卡罗模拟获得。在另一种标度中,蛋白质晶体结构数据库中不同旋转异构体状态的观测频率给出了(p(i))的估计值。在此,利用侧链融合熵的经验估计来推导第三种标度。融合熵是通过对组成烃基和官能团的经验推导贡献求和得到的。融合标度与其他两种标度之间有很好的一致性。这表明构象熵的大小得到了正确确定。

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