新研究利用人工智能设计新型抗生素 有望破解耐药性难题

Core Insights - The collaboration between Sweden's Karolinska Institute and several international research institutions has led to the development of a method using generative artificial intelligence to design new antibiotics, potentially addressing the issue of antibiotic resistance [1] Group 1: Research and Development - A deep learning-based AI platform was established by the research team, capable of designing novel molecular compounds [1] - The team synthesized 24 compounds, with 7 demonstrating selective antibacterial activity [1] - Two lead compounds, NG1 and DN1, showed significant efficacy in mouse infection models against Neisseria gonorrhoeae and methicillin-resistant Staphylococcus aureus, respectively, with low toxicity and unique mechanisms of action [1] Group 2: Mechanism and Implications - The mechanism of action for NG1 was clarified, as it targets a bacterial protein essential for Neisseria gonorrhoeae, disrupting the integrity of the bacterial protective membrane [1] - The research indicates that antibiotic resistance is a global health challenge, and the use of generative AI to design fundamentally different new molecular compounds opens new pathways for antibiotic development [1] - The findings have been published in the international academic journal "Cell" [1]