基于傅里叶变换的蛋白质分析中氨基酸参数的选择。

J Lazović
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引用次数: 40

摘要

傅立叶分析的参数轮廓序列的检测和定位的结构基序是生物学相关蛋白的特征已经提出。为了选择最适合该分析的参数,对226个理化、热力学、结构和统计氨基酸参数的信息容量进行了分析。基于四种功能无关的蛋白质模型组(溶菌酶c、HIV-1 gp120、微管蛋白和tau蛋白以及类固醇激素受体)的结果,电子-离子相互作用电位被选为独特的氨基酸性质,可用于基于傅里叶变换的蛋白质分析,而不依赖于它们的生物学功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Selection of amino acid parameters for Fourier transform-based analysis of proteins.

Fourier analysis of the parametric profile of a sequence for the detection and localization of the structural motifs that are characteristic for biologically related proteins has been proposed. In order to select parameters that are most appropriate for this analysis, the informational capacity of 226 physicochemical, thermodynamic, structural and statistical amino acid parameters was analyzed. Based on the results, obtained for the four functionally unrelated protein model groups (lysozyme c, HIV-1 gp120, tubulin and tau proteins, and steroid hormone receptors), the electron-ion interaction potential has been selected as the unique amino acid property that can be used in Fourier transform-based analysis of proteins, independently of their biological function.

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