Abstract

ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AND DEVELOPMENT: CURRENT STATUS AND FUTURE PERSPECTIVES

Anjali Dobariya* and Vipul Vaghela

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Abstract

AI uses personalized knowledge and gains knowledge from the solutions it generates to tackle both straightforward and complicated issues. The process of developing new drugs may be transformed by astounding increases in processing power and developments in AI technology. Due to rising R&D expenses and decreased efficiency, the pharmaceutical sector is currently having trouble finding their drug development initiatives. In this overview, we address the main reasons why drug approval attrition rates are so high, potential methods that AI might increase the effectiveness of the drug research process, and partnerships between the biggest names in the pharmaceutical business and AI-powered drug discovery companies.

Keywords: AI, High throughput screening, Quantum mechanism, QSAR, Molecular dynamics, Retro synthesis.