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肽和蛋白质行为作为氨基酸组成函数的定量构效关系建模。

Quantitative structure-activity relationship modeling of peptide and protein behavior as a function of amino acid composition.

作者信息

Siebert K J

机构信息

Department of Food Science and Technology, Cornell University, Geneva, New York 14456, USA.

出版信息

J Agric Food Chem. 2001 Feb;49(2):851-8. doi: 10.1021/jf000718y.

Abstract

A quantitative structure-activity relationship (QSAR) modeling approach based on the location of each amino acid along three axes obtained by principal component analysis (called z scores) was extended to physical and functional properties of proteins, where the proportion of particular amino acids rather than a precise sequence is the determining factor. Coomassie Brilliant Blue spectral responses to amino acid homopolymers (R = 0.926) and proteins, either as a function of their contents of six basic and aromatic amino acids (R = 0.976) or as a function of the contributions of these amino acids to the three z scores (R = 0.935), were modeled. The ultraviolet absorbance of proteins was modeled in terms of the z score contributions of tyrosine, tryptophan, and cysteine (R = 0.995). Modeling many protein functional properties in this manner appears to be possible. An approach to modeling peptide behaviors that depend on short sequences of amino acids was also considered.

摘要

一种基于主成分分析得到的沿三个轴(称为z分数)的每个氨基酸位置的定量构效关系(QSAR)建模方法被扩展到蛋白质的物理和功能特性,其中特定氨基酸的比例而非精确序列是决定因素。考马斯亮蓝对氨基酸均聚物的光谱响应(R = 0.926)以及对蛋白质的光谱响应,分别作为其六种碱性和芳香族氨基酸含量的函数(R = 0.976)或作为这些氨基酸对三个z分数贡献的函数(R = 0.935)进行建模。蛋白质的紫外吸光度根据酪氨酸、色氨酸和半胱氨酸的z分数贡献进行建模(R = 0.995)。以这种方式对许多蛋白质功能特性进行建模似乎是可行的。还考虑了一种对依赖于氨基酸短序列的肽行为进行建模的方法。

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