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富含丙氨酸的肽段的碳-13化学位移的快速准确计算。

Fast and accurate computation of the 13C chemical shifts for an alanine-rich peptide.

作者信息

Vila Jorge A, Baldoni Héctor A, Ripoll Daniel R, Scheraga Harold A

机构信息

Baker Laboratory of Chemistry and Chemical Biology, Cornell University, Ithaca, New York 14853-1301, USA.

出版信息

Proteins. 2004 Oct 1;57(1):87-98. doi: 10.1002/prot.20177.

Abstract

The purpose of this work is, first, to present a fast and accurate technique to compute Boltzmann-averaged values of the quantum-chemical 13C chemical shifts for each amino acid in oligopeptides, demonstrated here by an application to the peptide Ac-XXAAAAAAAOO-NH2 (where X denotes diaminobutyric acid, A is alanine, and O is ornithine) [XAO] and, second, to discuss the capability of the 13Calpha and 13Cbeta chemical shifts to distinguish the PP(II) conformation from the alpha-helix and statistical-coil conformations. Use is made of a combination of approaches, summarized as follows: (1) derivation of an ensemble of conformations by using a molecular mechanics technique; (2) use of a clustering procedure to form families and build a reduced set of conformations consisting of the lowest-energy conformations of each family, and (3) computation of the 13C chemical shifts for the lowest-energy conformations of each family, using a quantum-chemical approach that treats a selected residue, or group of residues, with a 6-311+G(2d,p) locally-dense basis set, while the remaining residues in the sequence are treated with a 3-21G basis set. The whole procedure is quite accurate and speeds up the computation of the Boltzmann-averaged values of the 13C-chemical shifts by several orders of magnitude. The present application sheds some light on the conformational preference for alanine and non-alanine residues to occupy the PP(II) helical region of the Ramachandran map.

摘要

这项工作的目的,首先是提出一种快速且准确的技术,用于计算寡肽中每个氨基酸的量子化学13C化学位移的玻尔兹曼平均值,本文通过应用于肽Ac-XXAAAAAAAOO-NH2(其中X表示二氨基丁酸,A是丙氨酸,O是鸟氨酸)[XAO]来进行演示;其次是讨论13Cα和13Cβ化学位移区分PP(II)构象与α-螺旋和统计卷曲构象的能力。采用了多种方法的组合,总结如下:(1) 使用分子力学技术推导构象集合;(2) 使用聚类程序形成家族,并构建一个简化的构象集,该构象集由每个家族的最低能量构象组成;(3) 使用量子化学方法计算每个家族最低能量构象的13C化学位移,该方法使用6-311+G(2d,p)局部密集基组处理选定的一个或一组残基,而序列中的其余残基则使用3-21G基组处理。整个过程相当准确,并且将13C化学位移的玻尔兹曼平均值的计算速度提高了几个数量级。本应用揭示了丙氨酸和非丙氨酸残基在拉氏图的PP(II)螺旋区域中的构象偏好。

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