Targeting the Undruggable: Deep Learning-Driven Design of Peptide Therapeutics in Cancer
How advances in artificial intelligence and computational modeling may reshape the rational design of next-generation peptide therapeutics is explored and an integrated experimental–computational framework is proposed to facilitate the development of clinically actionable candidates is proposed.