Compounds and proteins are the two most fundamental entities in drug discovery. Modeling their interactions is crucial for drug discovery. Although no universal computational method currently exists to predict and explain all compound-protein interactions (CPIs), researchers can contribute to building a comprehensive CPI map by leveraging various biological data from different perspectives.
New AI tool efficiently deconvolutes compound-protein interactions
