期刊名称：International Journal of Computer Science and Network Solutions
印刷版ISSN：2345-3397
出版年度：2015
卷号：3
期号：11
页码：30-36
出版社：International Journal of Computer Science and Network Solutions
摘要：Enzymatic catalysis is one of the most essential and the most striking process among all the complexprocesses that have evolved in living organisms, this is the mechanism by which chemical reactions arecatalyzed in living systems by specialized proteins called enzymes. These are biological catalysts that playa significant role in industrial and medical applications due to their specificity, selectivity and catalyticefficiencies. The distinction between acid and alkaline enzymes has become the biggest challenge in theengineering of enzymes; classification by experimental approaches is difficult, sometimes impossible, dueto the lack of established structures. Therefore, it is highly desirable to develop a calculation model todistinguish the acid and alkaline enzymes of primary sequences. In this study, we established a sufficientlyprecise calculation model using the sample representation method: Pseudo amino acid composition(PseAAC). Three classification methods were used to distinguish the enzymes acid and alkaline (KNN,Naive Bayes and Multi-Layer perceptron). We consider that the experimental results are quite good and theprospects are encouraging
