By Vijay Kumar MalesuJun 12 2024Reviewed by Susha Cheriyedath, M.Sc. In a recent study published in the journal Nature Biomedical Engineering, a group of researchers demonstrated the use of deep learning to resurrect antibiotic peptides from extinct organisms, providing new solutions for antibiotic resistance and other biomedical challenges.
About the study In the present study, researchers collected proteomes of extinct organisms from the National Center for Biotechnology Information taxonomy browser, retrieving 12,860 protein sequences from 208 extinct species. For the modern human proteome, they obtained 20,388 reviewed Homo sapiens proteins from UniProt.
Mouse models for skin abscess and thigh infections tested in vivo efficacy. Statistical analyses were conducted using one-way Analysis of Variance and GraphPad Prism and Python for data analysis. Related Stories predictions. An ensemble learning approach, averaging predictions from the top eight APEX models, further improved performance.