Designing antimicrobials with generative AI and metagenomics
2026-02-18
·
1 min read
Presented on the intersection of deep learning and microbiology, demonstrating how to leverage generative AI models alongside metagenomic mining to design novel antimicrobial peptides. We explored pipelines that automate the identification of active sequences from environmental datasets, helping to address global challenges in antibiotic resistance.
Authors
Valentyn Bezshapkin
(he/him)
MD, PhD Researcher in Bioinformatics
MD and PhD student in Bioinformatics at ETH Zürich, applying deep learning
and computational methods to decode the human gut microbiome. Building tools
that bridge metagenomics, machine learning, and clinical insights.