Live Science
•AI could identify the next superbug-fighting drug
Summary
Nutrition label
83% Informative
Antibiotic resistance is a growing public health problem around the world.
When bacteria like E. coli no longer respond to antibiotics, infections become harder to treat.
Researchers developed a new approach to identify resistance genes by computer modeling.
They designed new compounds that can block these genes and make existing treatments more effective.
VR Score
91
Informative language
95
Neutral language
59
Article tone
informal
Language
English
Language complexity
72
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
long-living
External references
10
https://doi.org/10.3389/fbinf.2024.1411935http://theconversation.com/http://creativecommons.org/licenses/by-nc/4.0/https://theconversation.com/fighting-antibiotic-resistance-at-the-source-using-machine-learning-to-identify-bacterial-resistance-genes-and-the-drugs-to-block-them-237919https://scholar.google.com/citations?user=cQRHkLIAAAAJ&hl=enhttps://theconversation.com/bacteria-can-develop-resistance-to-drugs-they-havent-encountered-before-scientists-figured-this-out-decades-ago-in-a-classic-experiment-220283https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistancehttps://doi.org/10.1016/j.cell.2020.02.056https://doi.org/10.1016/S0140-6736(21)02724-0https://youtu.be/UhQkgbpH2sQ