Abstract

The application of artificial intelligence in drug development marks a momentous shift in the realm of pharmaceutical research. This technological advancement combines advanced computer methods with traditional scientific investigation in order to overcome long-standing challenges. The purpose of this review article is to shed light on the many uses of artificial intelligence as they pertain to the different stages of medication development, highlighting major developments and approaches. This article looks at how AI is used in the design of drugs, Poly-Pharmacology, chemical synthesis, drug repurposing, and the prediction of pharmacological properties like bioactivity, toxicity, and physicochemical features. The paper discusses the obstacles and constraints found in the field of artificial intelligence (AI), including data quality, generalizability, computing needs, and ethical issues. This is in spite of the fact that AI has recently made some promising improvements. This study highlights the potential of artificial intelligence (AI) to dramatically improve drug development by providing a complete review of the role that AI plays in drug discovery. However, it also acknowledges the challenges that need to be solved in order to fully realize the benefits that its use may provide.

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