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AI identifies new antibiotics from venoms

Researchers have discovered potential antibiotics in snake and spider venom using artificial intelligence.

July 14, 2025 at 04:27 PM

AI finds hundreds of potential antibiotics in snake and spider venom

Researchers use artificial intelligence to discover potential antibiotics from animal venoms.

AI identifies new antibiotic candidates in venom

A study from the University of Pennsylvania reveals that artificial intelligence has identified potential antibiotics in snake, spider, and scorpion venom. In their research published in Nature Communications, the team used a deep-learning system named APEX to analyze over 40 million venom peptides. The AI identified 386 compounds with characteristics of effective antibiotics. Laboratory tests showed that 53 of the synthesized peptides were capable of killing drug-resistant bacteria, such as E. coli and Staphylococcus aureus, without harming human red blood cells.

Key Takeaways

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Artificial intelligence accelerates antibiotic discovery from animal venoms.

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386 potential antibiotics identified from venom peptides.

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53 peptides tested successfully against drug-resistant bacteria.

"Venoms are evolutionary masterpieces, yet their antimicrobial potential has barely been explored."

This quote from senior author César de la Fuente emphasizes the untapped value of venoms in medical research.

"By pairing computational triage with traditional lab experimentation, we delivered one of the most comprehensive investigations of venom derived antibiotics to date."

Co-author Marcelo Torres reflects on the innovative research methods that led to this discovery.

This breakthrough demonstrates the promising role of AI in medicinal research, particularly in combating antibiotic resistance, a significant global health crisis. The combination of advanced technology with traditional lab methods offers hope for developing new treatments. As antibiotic resistance becomes a mounting challenge, the findings encourage further exploration into unconventional sources, like venoms, that could yield vital medical solutions.

Highlights

AI could transform antibiotic discovery using nature's potent venoms.
Venoms are evolutionary masterpieces, ripe for unlocking new treatments.
Imagine new antibiotics sourced from the unlikeliest places—venom.
Exploring venom could lead us to fight deadly bacteria effectively.

Concerns about antibiotic resistance

Antibiotic resistance is a pressing global health issue, with millions affected each year. The discovery of new antibiotics is crucial but requires careful management to avoid introducing further resistance.

This research may change how we approach antibiotic development in the future.

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artificial intelligence antibiotics venom healthcare innovation health technology science

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