In the relentless battle against microbial threats, the emergence of drug-resistant strains poses a formidable challenge to global health. Traditional drug discovery methods are time-consuming, expensive, and often yield limited success. The integration of artificial Intelligence (AI) in drug discovery has opened new frontiers in the quest for effective antimicrobial agents. This article explores the pivotal role that AI plays in revolutionizing the drug discovery process, accelerating the identification of novel antimicrobial compounds, and addressing the urgent need for innovative solutions in the face of evolving microbial resistance.
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Journal of Antimicrobial Agents received 444 citations as per Google Scholar report
