Enhancing Cancer Management and Drug Discovery with the Use of AI and ML: A Comprehensive Review

Abstract

Natural compounds are typically used in diluted form in pharmacological effect screening methods, which does not allow for the separation of active components. Isolation of highly active isomeric molecules has been a focus of modern medicine throughout the past 20 years. Although the idea of multi-target medicines was revolutionary in the middle of the 2000s, it will rank among the most important developments in drug development in 2021. Natural anticancer treatments based on well-defined fragments are being studied in target-based drug development rather than naturally occurring combinations. An innovative technique for natural anticancer drugs and computer-aided/fragment-based structural deconstruction are both highlighted in this research. More and more drug development processes are being supported by computer programs (CADD). Topics covered in this research included computer-aided medication development and anticancer agents.