Core Insights - The collaboration between Karolinska Institute and various international research institutions has led to the development of a generative artificial intelligence method for designing new antibiotics, potentially addressing the issue of antibiotic resistance [1] Group 1: Research and Development - The research team established a deep learning-based AI platform capable of designing novel molecular compounds [1] - A total of 24 compounds were synthesized, with 7 exhibiting selective antibacterial activity [1] - Two lead compounds, NG1 and DN1, demonstrated 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 of Action - The mechanism of action for NG1 was clarified, showing its ability to target a bacterial protein essential for Neisseria gonorrhoeae, disrupting the integrity of the bacterial protective membrane [1] - This positions NG1 as a promising narrow-spectrum antibiotic [1] Group 3: Implications for Antibiotic Resistance - Antibiotic resistance is identified as a global health challenge, and the use of generative AI to design fundamentally different molecular compounds opens new pathways for antibiotic development [1] - The research findings have been published in the international academic journal "Cell" [1]
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
Xin Hua She·2025-08-17 02:24