The invention relates to a method for predicting space
epitope of
protein antigen according to
antibody species classification. The method comprises the steps of 1) collecting data: classifying and collecting
antigen-
antibody structure data according to the
antibody species source information (such as mouse source, human source and the like) to obtain classified data sets, and collecting descriptive features of
protein interactive binding sites; 2)
building model: computing the descriptive features for the collected classified data sets, and building
antigen space
epitope prediction model for antigens which bind antibodies of different species sources according to the interspecies difference; and 3) predicting
epitope: according to the species source of antibody to be bound, selecting the antigen space epitope prediction model to predict the
potential space epitope for antigen with unknown epitope. The method of the invention predicts the space epitope of
protein antigen according to antibody
species classification, comprehensively utilizes the
amino acid physicochemical feature and three-dimensional space
local structure feature in the protein, has ingenious design, and notably improves prediction accuracy. Thus, the method is suitable for being applied on a large scale.