TransDSI is a transfer learning architecture that uses protein sequence data to predict protein-protein interactions, specifically deubiquitinating enzyme (DUB)-substrate interactions. It also includes an explainable module that suggests critical protein regions for interactions, aiding in drug target discovery and disease omics data analysis.
