Abstract: The technical solution relates to the field of artificial intelligence technologies, such as machine learning technologies, natural language processing technologies, or the like. A plurality of training samples are collected, each of the plurality of training samples includes information of a known training target protein, information of two training drugs, and a real difference between affinities of the two training drugs for the known training target. The ranking learning model is trained with the plurality of training samples, such that the ranking learning model learns a capability of predicting a magnitude relationship between the affinities of the two training drugs for the known training target protein in each of the plurality of training samples.