A Novel Fuzzy Decision Tree Based Method for Detecting Protein Active Sites

摘要: The knowledge of the functions protein structures is essential for development new drugs, better crops and synthetic biochemical. There are numerous experimental methods determining functions, but because their complexity number molecules with undetermined rapidly growing. Thus, there an evident need computer structures. In this study, we introduce fuzzy theory active sites detection. We propose a novel decision tree (FDT) based method predicting that later could be used molecules. First, extract several characteristics amino acids. Then, induce FDTs would to predict sites. provide results evaluation prediction power proposed method. Also, our compared other machine learning techniques purpose.