Journal
PROTEIN AND PEPTIDE LETTERS
Volume 16, Issue 4, Pages 351-355Publisher
BENTHAM SCIENCE PUBL LTD
DOI: 10.2174/092986609787848045
Keywords
Lytic enzyme; endolysin; autolysin; Chou's amphiphilic pseudo amino acid composition
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Funding
- National Natural Science Foundation of China [90403010, 200408020102]
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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 Chou's 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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