South Korean scientists have developed an artificial intelligence (AI)-based peptide detection model that can predict the antibiotic functionality of peptides antibiotic for hay bacillus, colon bacillus, staphylococcus aureus, and staph.
The research team from the National Institute of Biological Resources and Dongguk University applied the AI model that learned antibiotic peptide data for the transcriptome of the wolf spider’s venom gland and succeeded in exploring two types of new antibiotic peptides.
The spider venom’s peptide has the property of destroying cells and paralyzing nerves, and can thereby be used as a functional material in various areas, including medicines, food, and cosmetics.


Trump Threatens Bombardier U.S. Sales Ban
NASA Artemis II: First Crewed Moon Mission Since Apollo Takes Four Astronauts on 10-Day Lunar Journey
Trump Signs Executive Order to Boost AI Research in Childhood Cancer
ECB Rate Hike in Focus as Oil Tops $100
German Inflation Accelerates to 2.9% in August
Kioxia Rules Out SK Hynix Manufacturing Partnership
Boeing, SPEEA Reach Tentative Four-Year Labor Deal
Longsys Raises $903 Million in Hong Kong IPO as Shares Debut Flat
Novartis M&A Strategy Faces Investor Scrutiny After Drug Setbacks
Brent Oil Tops $100 as Middle East Conflict Threatens Supply
US Treasury Yields Near 5% as Oil Fuels Inflation Fears
Australia Plans New Rules Giving Users Control Over Social Media Feeds
UK Businesses Urge Government to Cut Electricity Levies
Treasury Buyback Fails to Cool Long-Term Yields
FDA Adds Fatal Risk Warning to J&J and Legend Biotech’s Carvykti Cancer Therapy
NASA's Artemis II Crew Arrives in Florida for Historic Moon Mission 



