AI-Driven Therapeutic Evolution of Statins: From Natural Origins to Best-in-Class Synthetic Derivatives

Abstract

Statins represent a cornerstone in cardiovascular pharmacotherapy due to their proven efficacy in reducing low-density lipoprotein cholesterol (LDL-C) and mitigating atherosclerotic cardiovascular disease (ASCVD) risk. This paper reinterprets the therapeutic evolution of statins through an AI-driven lens, highlighting how data analytics, molecular modeling, and predictive pharmacology enhance understanding of statin development from natural fungal metabolites to high-potency synthetic derivatives. Artificial intelligence enables comparative evaluation of pharmacokinetics, safety profiles, and clinical outcomes, supporting precision medicine and optimized statin selection. This systematic synthesis integrates historical evidence with modern AI-informed insights to advance lipid management strategies.