期刊
MOLECULAR BIOLOGY AND EVOLUTION
卷 24, 期 1, 页码 192-202出版社
OXFORD UNIV PRESS
DOI: 10.1093/molbev/msl143
关键词
computational biology; bHLH proteins; molecular architecture; multivariate statistics; DNA-binding specificity; molecular evolution
资金
- NIGMS NIH HHS [GM45344] Funding Source: Medline
Multivariate statistical analyses are used to explore the molecular architecture of the DNA-binding and dimerization regions of basic helix-loop-helix (bHLH) proteins. Alphabetic amino acid data are transformed to biologically meaningful quantitative values using a set of 5 multivariate indices. These multivariate indices summarize variation in a large suite of amino acid physiochemical attributes and reflect variability in polarity-accessibility-hydrophobicity, propensity for secondary structure, molecular size, codon composition, and electrostatic charge. Using these index score data, discriminant analyses describe the multidimensional aspects of physiochemical variation and clarify the structural basis of the prevailing evolutionary classification of bHLH proteins. A small number of amino acids from both the binding dimerization domains, when considered simultaneously, accurately distinguish the 5 known DNA-binding groups. The relevant sites often have well-documented structural and functional characteristics.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据