Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition.
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.
Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, 010021, China.
Hui
H
Ding
Liaofu
L
Luo
Hao
H
Lin
D000465:Algorithms; D000596:Amino Acids / Q000737:chemistry*; D002473:Cell Wall / Q000378:metabolism*; D019295:Computational Biology; D003198:Computer Simulation; D030562:Databases, Protein; D010450:Endopeptidases / Q000378:metabolism*; D009238:N-Acetylmuramoyl-L-alanine Amidase / Q000378:metabolism*
D000596:Amino Acids; D010450:Endopeptidases; C001143:endolysin; D009238:N-Acetylmuramoyl-L-alanine Amidase