Abstract: In order to solve the classification prediction problem in biological information experiments, this article designed a new Bayesian classification model based on attribute missing data which combined with the characteristics of Naïve Bayesian algorithm.This model was applied to the research of protein-protein interaction site localized.Experimental results show that the biological missing data processing through this model has obtained better results than other methods in the fields of accuracy, precision, recall and ROC.