Abstract
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
Protein & Peptide Letters
Title: Prediction of Cell Wall Lytic Enzymes Using Chous Amphiphilic Pseudo Amino Acid Composition
Volume: 16 Issue: 4
Author(s): Hui Ding, Liaofu Luo and Hao Lin
Affiliation:
Keywords: Lytic enzyme, endolysin, autolysin, Chou's amphiphilic pseudo amino acid composition
Abstract: 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.
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Cite this article as:
Ding Hui, Luo Liaofu and Lin Hao, Prediction of Cell Wall Lytic Enzymes Using Chous Amphiphilic Pseudo Amino Acid Composition, Protein & Peptide Letters 2009; 16 (4) . https://dx.doi.org/10.2174/092986609787848045
DOI https://dx.doi.org/10.2174/092986609787848045 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |
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