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

被引:24
作者
Siebert, KJ [1 ]
机构
[1] Cornell Univ, Dept Food Sci & Technol, Geneva, NY 14456 USA
关键词
QSAR; functional properties; principal component analysis; partial least-squares regression;
D O I
10.1021/jf000718y
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
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 scare 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.
引用
收藏
页码:851 / 858
页数:8
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