Background: Predicting the protein-ATP binding sites is a highly unbalanced binary classi-fication problem, and higher precision prediction through the machine learning methods is of great sig-nificance to the researches on proteins’ functions and the design of drugs. Objective: Most existing researches typically select 17aa as the length of window by experience, and extract features by the Position-specific Scoring Matrix (PSSM), and then construct models predicting with SVC. However, the independent prediction values obtained in these resear...
