Computational exploration of global venoms for antimicrobial discovery with Venomics artificial intelligence
Abstract The rise of antibiotic-resistant pathogens, particularly gram-negative bacteria, highlights the urgent need for novel therapeutics. Drug-resistant infections now contribute to approximately 5 million deaths annually, yet traditional antibiotic discovery has significantly stagnated. Venoms f...
Saved in:
| Main Authors: | Changge Guan, Marcelo D. T. Torres, Sufen Li, Cesar de la Fuente-Nunez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-60051-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Beyond venomous fangs: Uloboridae spiders have lost their venom but not their toxicity
by: Xiaojing Peng, et al.
Published: (2025-06-01) -
Editorial: venom collection
by: Sakthivel Vaiyapuri, et al.
Published: (2025-05-01) -
Potential of Venom-Derived Compounds for the Development of New Antimicrobial Agents
by: Esraa Yasser Rabea, et al.
Published: (2025-05-01) -
Venomous Peptides: Molecular Origin of the Toxicity of Snake Venom PLA2‑like Peptides
by: João T. S. Coimbra, et al.
Published: (2024-10-01) -
Recognizing Florida's Venomous Snakes
by: Steve A. Johnson, et al.
Published: (2005-09-01)