Predicting Lipase Types by Improved Chous Pseudo-Amino Acid Composition

Author(s): Guang-Ya Zhang, Hong-Chun Li, Jia-Qiang Gao, Bai-Shan Fang.

Journal Name: Protein & Peptide Letters

Volume 15 , Issue 10 , 2008

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By proposing a improved Chous pseudo amino acid composition approach to extract the features of the sequences, a powerful predictor based on k-nearest neighbor was introduced to identify the types of lipases according to their sequences. To avoid redundancy and bias, demonstrations were performed on a dataset where none of the proteins has ≥ 25%sequence identity to any other. The overall success rate thus obtained by the 10-fold cross-validation test was over 90%, indicating that the improved Chous pseudo amino acid composition might be a useful tool for extracting the features of protein sequences, or at lease can play a complementary role to many of the other existing approaches.

Keywords: Lipase, improved Chou's pseudo amino acid composition, feature extraction, k-nearest neighbor, bioinformatics

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Article Details

Year: 2008
Page: [1132 - 1137]
Pages: 6
DOI: 10.2174/092986608786071184
Price: $65

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