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
Abstract
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.
Topics & Concepts
KinaseComputational biologyComputer scienceBiologyCell biologyComputational Drug Discovery MethodsMelanoma and MAPK PathwaysHER2/EGFR in Cancer Research