Predicting Enzyme Subclasses by Using Support Vector Machine with Composite Vectors

被引：13

作者：

Shi, Ruijia ^{[1
]}

Hu, Xiuzhen ^{[1
]}

机构：

[1] Inner Mongolia Univ Technol, Coll Sci, Hohhot 010051, Peoples R China

来源：

PROTEIN AND PEPTIDE LETTERS | 2010年 / 17卷 / 05期

关键词：

Enzymes; enzyme subclasses; low-frequency power spectral density; pseudo amino acid composition; increment of diversity; support vector machine; jackknife test; AMINO-ACID-COMPOSITION; FUNCTIONAL DOMAIN COMPOSITION; PROTEIN SUBCELLULAR LOCATION; FREQUENCY VIBRATIONS PHONONS; BIOLOGICAL FUNCTIONS; APOPTOSIS PROTEINS; FOURIER-SPECTRUM; SEQUENCE; LOCALIZATION; DISCRIMINANT;

D O I：

10.2174/092986610791112710

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Based on enzyme sequence, using composite vectors with amino acid composition, low-frequency power spectral density, increment of diversity by combining a different form of pseudo amino acid composition to express the information of sequence, a support vector machine (SVM) for predicting enzyme subclasses is proposed. By the jackknife test, success rates of our algorithm are higher than other methods.

引用

页码：599 / 604

页数：6

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