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根据可及表面积和接触表面积统计数据定义的蛋白质中的原子环境能量。

Atomic environment energies in proteins defined from statistics of accessible and contact surface areas.

作者信息

Delarue M, Koehl P

机构信息

Laboratoire d'Immunologie, Structurale, Institut Pasteur, Paris, France.

出版信息

J Mol Biol. 1995 Jun 9;249(3):675-90. doi: 10.1006/jmbi.1995.0328.

DOI:10.1006/jmbi.1995.0328
PMID:7783220
Abstract

Atomic contact potentials are derived by statistical analysis of atomic surface contact areas versus atom type in a database of non-homologous protein structures. The atomic environment is characterized by the surface area accessible to solvent and the surface of contacts with polar and non-polar atoms. Four types of atoms are considered, namely neutral polar atoms from protein backbones and from protein side-chains, non-polar atoms and charged atoms. Potential energies delta Ej(E) are defined from the preference for an atom of type j to be in a given environment E compared to the expected value if everything was random; Boltzmann's law is then used to transform these preferences into energies. These new potentials very clearly discriminate misfolded from correct structural models. The performance of these potentials are critically assessed by monitoring the recognition of the native fold among a large number of alternative structural folding types (the hide-and-seek procedure), as well as by testing if the native sequence can be recovered from a large number of randomly shuffled sequences for a given 3D fold (a procedure similar to the inverse folding problem). We suggest that these potentials reflect the atomic short range non-local interactions in proteins. To characterise atomic solvation alone, similar potentials were derived as a function of the percentage of solvent-accessible area alone. These energies were found to agree reasonably well with the solvation formalism of Eisenberg and McLachlan.

摘要

原子接触势是通过对非同源蛋白质结构数据库中原子表面接触面积与原子类型进行统计分析得出的。原子环境由溶剂可及表面积以及与极性和非极性原子的接触表面来表征。考虑了四种类型的原子,即来自蛋白质主链和侧链的中性极性原子、非极性原子和带电原子。势能ΔEj(E)是根据类型为j的原子处于给定环境E中的偏好与如果一切都是随机情况下的预期值相比来定义的;然后使用玻尔兹曼定律将这些偏好转换为能量。这些新的势能够非常清晰地区分错误折叠与正确的结构模型。通过在大量替代结构折叠类型中监测天然折叠的识别情况(捉迷藏程序),以及通过测试对于给定的三维折叠能否从大量随机重排的序列中恢复天然序列(类似于逆折叠问题的程序),来严格评估这些势的性能。我们认为这些势反映了蛋白质中原子的短程非局部相互作用。为了单独表征原子溶剂化,仅根据溶剂可及面积的百分比导出了类似的势。发现这些能量与艾森伯格和麦克拉克伦的溶剂化形式主义相当吻合。

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Use of surface area computations to describe atom-atom interactions.使用表面积计算来描述原子间相互作用。
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What should the Z-score of native protein structures be?天然蛋白质结构的Z分数应该是多少?
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