Prediction of Cell Wall Lytic Enzymes Using Chous Amphiphilic Pseudo Amino Acid Composition

Author(s): Hui Ding, Liaofu Luo, Hao Lin

Journal Name: Protein & Peptide Letters

Volume 16 , Issue 4 , 2009

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Discriminating cell wall lytic enzymes from non lytic enzymes is a very important task for curing bacterial infections. In this paper, based on Chous amphiphilic pseudo amino acid composition, we develop fisher-discriminant based classifier to predict cell wall lytic enzymes. Experiments show that 66.7% sensitivity with 88.6% specificity is obtained. The method is further able to predict endolysin and autolysin with an overall accuracy of 92.9%. Results demonstrated that our method can provide highly useful information for further bacterial control research.

Keywords: Lytic enzyme, endolysin, autolysin, Chou's amphiphilic pseudo amino acid composition

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Article Details

Year: 2009
Published on: 01 March, 2012
Page: [351 - 355]
Pages: 5
DOI: 10.2174/092986609787848045
Price: $65

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