this post was submitted on 27 Dec 2023
88 points (100.0% liked)
Science
13032 readers
2 users here now
Studies, research findings, and interesting tidbits from the ever-expanding scientific world.
Subcommunities on Beehaw:
Be sure to also check out these other Fediverse science communities:
This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
🤖 I'm a bot that provides automatic summaries for articles:
Click here to see the summary
A new class of antibiotics for drug-resistant Staphylococcus aureus (MRSA) bacteria which was discovered using more transparent deep learning models.The use of artificial intelligence (AI) is proving to be a game-changer when it comes to medicine with the technology now helping scientists to unlock the first new antibiotics in 60 years.
"Our work provides a framework that is time-efficient, resource-efficient, and mechanistically insightful, from a chemical-structure standpoint, in ways that we haven’t had to date".
These models consist of very large numbers of calculations that mimic neural connections, and no one really knows what's going on underneath the hood," said Felix Wong, a postdoc at MIT and Harvard and one of the study’s lead authors.
By integrating these toxicity predictions with the previously determined antimicrobial activity, the researchers pinpointed compounds capable of effectively combating microbes with minimal harm to the human body.
The models identified compounds from five different classes, categorised based on specific chemical substructures within the molecules, that exhibited predicted activity against MRSA.
Saved 71% of original text.