Prediction of Enzyme’s Family Based on Protein-Protein Interaction Network
Classification for enzymes is essential for understanding the functions of organisms
because it is directly related to the knowledge about which specific target it acts on, as well as to its
catalytic process. Hence, it is crucial to use an accurate and robust approach to correctly map the
enzyme in specific enzyme family class that it is belong to. In this research, a protein-protein
interaction (PPI) network-based method was developed for predicting the families of enzyme. As a
demonstration, the overall success rate by the jackknife test in identifying enzyme’s family class was
62.86%. The promising results imply that the predictor as presented in this paper may become a
useful tool for studying enzymes.
Keywords: Amino acid frequency, enzyme family classes, jackknife test, PPI network-based method.
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