AI article
Accelerating the search for antimicrobial peptides with Google Antigravity
Publisher description: Accelerating the search for novel antimicrobial peptides using Google Antigravity for Science.
deepmind | Oct 15, 2026 | Pengfei Tian, Maxwell L Bileschi, Zoi Tsangalidou, Sukhdeep Singh, Lucy. J. Colwell
Automated excerpt
It also helps researchers scan through millions of previously uncharacterized proteins in the UniProt database using ProtNLM, a model that predicts biological function from amino acid sequences. This technical walkthrough shows how biologists used Google Antigravity to uncover a novel antimicrobial peptide candidate which has predicted activity against the pathogens involved in respiratory tract infections. This allows the model to predict biological function directly from raw protein sequences, enriching millions of previously unnamed UniProt entries with high-confidence functional labels. Overview of the ProtNLM pipeline translating raw amino acid sequences into natural-language biological annotations for unreviewed UniProtKB/TrEMBL entries.
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