Suppr超能文献

一种基于氨基酸理化性质的进化模型揭示了蛋白质之间的差异。

An evolutionary model motivated by physicochemical properties of amino acids reveals variation among proteins.

机构信息

Department of Biology and Genetics Institute, University of Florida, Gainesville, FL, USA.

出版信息

Bioinformatics. 2018 Jul 1;34(13):i350-i356. doi: 10.1093/bioinformatics/bty261.

Abstract

MOTIVATION

The relative rates of amino acid interchanges over evolutionary time are likely to vary among proteins. Variation in those rates has the potential to reveal information about constraints on proteins. However, the most straightforward model that could be used to estimate relative rates of amino acid substitution is parameter-rich and it is therefore impractical to use for this purpose.

RESULTS

A six-parameter model of amino acid substitution that incorporates information about the physicochemical properties of amino acids was developed. It showed that amino acid side chain volume, polarity and aromaticity have major impacts on protein evolution. It also revealed variation among proteins in the relative importance of those properties. The same general approach can be used to improve the fit of empirical models such as the commonly used PAM and LG models.

AVAILABILITY AND IMPLEMENTATION

Perl code and test data are available from https://github.com/ebraun68/sixparam.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

动机

在进化过程中,氨基酸的交换率可能因蛋白质而异。这些速率的变化有可能揭示蛋白质约束的信息。然而,最直接的模型可以用来估计氨基酸取代的相对速率是参数丰富的,因此不切实际的用于此目的。

结果

开发了一种包含氨基酸物化性质信息的氨基酸取代的六参数模型。结果表明,氨基酸侧链体积、极性和芳香性对蛋白质进化有重大影响。它还揭示了蛋白质之间这些特性相对重要性的变化。同样的一般方法可以用来改进经验模型的拟合,如常用的 PAM 和 LG 模型。

可用性和实现

Perl 代码和测试数据可从 https://github.com/ebraun68/sixparam 获得。

补充信息

补充资料可在“Bioinformatics”在线获取。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验