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主要类型β-转角的相对稳定性与氨基酸组成的关系:基于从头算能量和天然丰度数据的研究

Relative stability of major types of beta-turns as a function of amino acid composition: a study based on Ab initio energetic and natural abundance data.

作者信息

Perczel András, Jákli Imre, McAllister Michael A, Csizmadia Imre G

机构信息

Department of Organic Chemistry, Eötvös L. University, 1117 Budapest, Hungary.

出版信息

Chemistry. 2003 Jun 6;9(11):2551-66. doi: 10.1002/chem.200204393.

Abstract

Folding properties of small globular proteins are determined by their amino acid sequence (primary structure). This holds both for local (secondary structure) and for global conformational features of linear polypeptides and proteins composed from natural amino acid derivatives. It thus provides the rational basis of structure prediction algorithms. The shortest secondary structure element, the beta-turn, most typically adopts either a type I or a type II form, depending on the amino acid composition. Herein we investigate the sequence-dependent folding stability of both major types of beta-turns using simple dipeptide models (-Xxx-Yyy-). Gas-phase ab initio properties of 16 carefully selected and suitably protected dipeptide models (for example Val-Ser, Ala-Gly, Ser-Ser) were studied. For each backbone fold most probable side-chain conformers were considered. Fully optimized 321G RHF molecular structures were employed in medium level [B3LYP/6-311++G(d,p)//RHF/3-21G] energy calculations to estimate relative populations of the different backbone conformers. Our results show that the preference for beta-turn forms as calculated by quantum mechanics and observed in Xray determined proteins correlates significantly.

摘要

小型球状蛋白质的折叠特性由其氨基酸序列(一级结构)决定。这对于线性多肽和由天然氨基酸衍生物组成的蛋白质的局部(二级结构)和整体构象特征均适用。因此,它为结构预测算法提供了理论基础。最短的二级结构元件β-转角,最典型地采用I型或II型形式,这取决于氨基酸组成。在此,我们使用简单的二肽模型(-Xxx-Yyy-)研究了两种主要类型β-转角的序列依赖性折叠稳定性。研究了16种精心挑选并适当保护的二肽模型(例如缬氨酸-丝氨酸、丙氨酸-甘氨酸、丝氨酸-丝氨酸)的气相从头算性质。对于每个主链折叠,考虑了最可能的侧链构象异构体。在中等水平[B3LYP/6-311++G(d,p)//RHF/3-21G]能量计算中采用完全优化的321G RHF分子结构来估计不同主链构象异构体的相对丰度。我们的结果表明,通过量子力学计算得出的β-转角形式偏好与X射线测定的蛋白质中观察到的情况具有显著相关性。

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