Skip to main content
See every side of every news story
Published loading...Updated

Antibiotics instead of images: Generative AI designs molecules that kill drug-resistant bacteria

Penn researchers developed AMP-Diffusion AI, generating 50,000 antimicrobial peptides, with two matching FDA-approved drugs' effectiveness in animal skin infection tests, showing no adverse effects.

Summary by Phys.org
What if generative AI could design life-saving antibiotics, not just art and text? In a new Cell Biomaterials paper, Penn researchers introduce AMP-Diffusion, a generative AI tool used to create tens of thousands of new antimicrobial peptides (AMPs)—short strings of amino acids, the building blocks of proteins—with bacteria-killing potential. In animal models, the most potent AMPs performed as well as FDA-approved drugs, without detectable adver…

7 Articles

Lean Right

Of the 46 major candidates, two were shown to be able to reduce skin infections in rats, with an effect on the level of medicines already used for this purpose.

·Portugal
Read Full Article

The generater artificial intelligence tool, AMP-Diffusion, analyzes large groups of synthetic antimicrobial molecules (substances that kill bacteria) and proposes applications for new antibiotics, medicines used to kill or prevent the multiplication of bacteria. Scientists found that, in rats with skin infection, the most effective compounds with IA produced a comparable performance to those approved by Food and Drug Administration (FDA) and did…

·Portugal
Read Full Article
Think freely.Subscribe and get full access to Ground NewsSubscriptions start at $9.99/yearSubscribe

Bias Distribution

  • 75% of the sources are Center
75% Center

Factuality 

To view factuality data please Upgrade to Premium

Ownership

To view ownership data please Upgrade to Vantage

Phys.org broke the news in United Kingdom on Tuesday, September 2, 2025.
Sources are mostly out of (0)
News
For You
Search
BlindspotLocal