Using pseudo amino acid composition to predict protein subcellular location: Approached with Lyapunov index, Bessel function, and Chebyshev filter

被引：0

作者：

Y. Gao

S. Shao

X. Xiao

Y. Ding

Y. Huang

Z. Huang

K.-C. Chou

机构：

[1] Bioinformation Research Centre,

[2] Donghua University,undefined

[3] Jing-De-Zhen Ceramic Institute,undefined

[4] Shanghai Jiaotong University,undefined

[5] Tianjin Institute of Bioinformatics & Drug Discovery,undefined

[6] Gordon Life Science Institute,undefined

[7] Torrey Del Mar,undefined

来源：

Amino Acids | 2005年 / 28卷

关键词：

Keywords: Covariant-discriminant algorithm – Pseudo amino acid composition – Chaos – Lyapunov index – Bessel function – Chebyshev filter;

D O I：

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学科分类号：

摘要：

With the avalanche of new protein sequences we are facing in the post-genomic era, it is vitally important to develop an automated method for fast and accurately determining the subcellular location of uncharacterized proteins. In this article, based on the concept of pseudo amino acid composition (Chou, K.C. Proteins: Structure, Function, and Genetics, 2001, 43: 246–255), three pseudo amino acid components are introduced via Lyapunov index, Bessel function, Chebyshev filter that can be more efficiently used to deal with the chaos and complexity in protein sequences, leading to a higher success rate in predicting protein subcellular location.

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页码：373 / 376

页数：3

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