Leveraging artificial intelligence and machine learning in kinase inhibitor development: advances, challenges, and future prospects
Mohamed Saleh Elgawish, Aya M. Almatary, Sawsan A. Zaitone, Mohamed S. H. Salem · RSC Medicinal Chemistry · 2025
and experimental results. Finally, we discuss emerging directions such as federated learning, personalized kinase inhibitors, and AI-enabled combination therapies. By integrating computational innovation with medicinal chemistry, AI/ML holds immense promise to accelerate and refine the next generation of kinase-targeted therapeutics.