Modern drug development depends critically on target predictions since they identify particular biological molecules or cellular processes that drugs can reasonably control to produce therapeutic benefits. Despite the developments in omic and experimental technologies over recent years, the challenge of pinpointing suitable therapeutic targets still exists ( ). Target predictions have lately attracted attention as a possible approach by combining multi-omic data with artificial intelligence systems ( ).