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利用配对耦合氨基酸组成预测蛋白质二级结构含量。

Using pair-coupled amino acid composition to predict protein secondary structure content.

作者信息

Chou K C

机构信息

Computer-Aided Drug Discovery, Pharmacia & Upjohn, Kalamazoo, Michigan 49007-4940, USA.

出版信息

J Protein Chem. 1999 May;18(4):473-80. doi: 10.1023/a:1020696810938.

Abstract

The pair-coupled amino acid composition is introduced to predict the secondary structure contents of a protein. Compared with the existing methods all based on singlewise amino acid composition as defined in a 20D (dimensional) space, this represents a step forward to the consideration of the sequence coupling effect. The test results indicate that the introduction of the pair-coupled amino acid composition can significantly improve the prediction quality. It is anticipated that the concept of the pair-coupled amino acid composition can be used to simplify the formulation of sequence coupling (or sequence order) effects and to study many other features of proteins as well.

摘要

引入成对耦合氨基酸组成来预测蛋白质的二级结构含量。与现有的所有基于在20维空间中定义的单氨基酸组成的方法相比,这代表了在考虑序列耦合效应方面向前迈进了一步。测试结果表明,引入成对耦合氨基酸组成可以显著提高预测质量。预计成对耦合氨基酸组成的概念可用于简化序列耦合(或序列顺序)效应的表述,并研究蛋白质的许多其他特征。

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