Improved Descriptors for the Quantitative Structure-Activity Relationship Modeling of Peptides and Proteins

被引:36
|
作者
Barley, Mark H. [1 ]
Turner, Nicholas J. [1 ]
Goodacre, Royston [1 ]
机构
[1] Univ Manchester, Manchester Inst Biotechnol, Sch Chem, 131 Princess St, Manchester M1 7DN, Lancs, England
基金
英国生物技术与生命科学研究理事会;
关键词
AMINO-ACIDS; DIRECTED EVOLUTION; SCALE; SET; ALGORITHM; VOLUMES; DESIGN; QSARS;
D O I
10.1021/acs.jcim.7b00488
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
The ability to model the activity of a protein using quantitative structure activity relationships (QSAR) requires descriptors for the 20 naturally coded amino acids. In this work we show that by modifying some established descriptors we were able to model the activity data of 140 mutants of the enzyme epoxide hydrolase with improved accuracy. These new descriptors (referred to as physical descriptors) also gave very good results when tested against a series of four dipeptide data sets. The physical descriptors encode the amino acids using only two orthogonal scales: the first is strongly linked to hydrophilicity/hydrophobicity, and the second, to the volume of the amino acid residue. The use of these new amino acid descriptors should result in simpler and more readily interpretable models for the enzyme activity (and potentially other functions of interest, e.g., secondary and tertiary structure) of peptides and proteins.
引用
收藏
页码:234 / 243
页数:10
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