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.
Ding
Hui
H
Laboratory of Theoretical Biophysics, School of Physical Science and Technology, Inner Mongolia University, Hohhot, 010021, China.
Luo
Liaofu
L
Lin
Hao
H
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