SEOUL, Nov. 24 (Korea Bizwire) — South Korean scientists have discovered a way to predict the antibiotic functionality of peptides using artificial intelligence (AI) technology.
A joint research team from the National Institute of Biological Resources and Dongguk University announced that it had developed a deep learning-based peptide detection model that can predict antibiotic functionality for hay bacillus, colon bacillus, staphylococcus aureus and staphylococcus epidermidis.
The research team applied the AI model that learned antibiotic peptide data for the transcriptome of the venom gland of the wolf spider, and succeeded in exploring two types of new antibiotic peptides.
The peptide contained in spider venom 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.
Image Credit: National Institute of Biological Resources / firstname.lastname@example.org