Identification of Human Enzymes Using Amino Acid Composition and the Composition of k-Spaced Amino Acid Pairs.

ABSTRACT: Enzymes are proteins that can efficiently catalyze specific biochemical reactions, and they are widely present in the human body. Developing an efficient method to identify human enzymes is vital to select enzymes from the vast number of human proteins and to investigate their functions. Nevertheless, only a limited amount of research has been conducted on the classification of human enzymes and nonenzymes. In this work, we developed a support vector machine- (SVM-) based predictor to classify human enzymes using the amino acid composition (AAC), the composition of k-spaced amino acid pairs (CKSAAP), and selected informative amino acid pairs through the use of a feature selection technique. A training dataset including 1117 human enzymes and 2099 nonenzymes and a test dataset includ

SUBMITTER: Zhang L 

PROVIDER: S-EPMC7273372 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature