Reviewing on AI-Designed Antibiotic Targeting Drug-Resistant Superbugs by Emphasizing Mechanisms of Action

Drug-resistant bacteria pose a significant challenge to global health systems, surpassing traditional antibiotic discovery methods. AI-driven methodologies have revolutionized antibiotic development by efficiently collecting, analyzing, and modeling complex datasets. These advancements enable researchers to identify promising antibiotic candidates with unique mechanisms that bypass conventional resistance pathways. AI-designed antibiotics offer robust solutions by targeting critical bacterial processes or disrupting essential cellular components. This approach accelerates drug development timelines and enhances therapeutic outcomes. Understanding the underlying mechanisms is crucial for optimizing clinical efficacy and devising proactive strategies to prevent further resistance.