S. Korean scientists detect antibiotic material in spider venom using AI

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.