Abstract

Artificial Intelligence (AI) is revolutionizing the landscape of drug discovery, offering tools that streamline and accelerate each phase of the process. This mini-review will provide an overview of how the integration of Artificial Intelligence tools in the drug discovery process accelerates the timelines, minimizes failure risks, and lowers overall costs. This manuscript introduces key AI terminology, describes its role in various stages of the drug discovery process, and emphasizes on few popular AI tools used in the discovery process. Additionally, it also discusses the advantages of AI adoption in drug discovery and addresses the challenges faced in its implementation. This review aims to elucidate the current state and prospects of AI-driven drug discovery.

Keywords:Drug Discovery; Artificial Intelligence (AI); Deep Learning (DL); Machine Learning (ML); Artificial neural networks