# Google DeepMind — Accelerating the search for antimicrobial peptides with Google Antigravity

- Company: Google DeepMind (deepmind.google)
- Announced: 2026-10-15T16:08:03+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://deepmind.google/blog/accelerating-antimicrobial-discovery/
- Record: https://forck.live/items/22943-accelerating-the-search-for-antimicrobial-peptides-with-google-antigravity
- Subject: Gemini
- Models affected: ProtNLM

Google DeepMind's technical walkthrough shows how biologists used Google Antigravity, its agentic development platform, to find a novel antimicrobial peptide candidate with predicted activity against respiratory tract infection pathogens. The lead is now undergoing wet-lab validation, the post says. Antigravity provides an agentic science workbench that compresses a fragmented search across multiple databases into a single session, and it uses ProtNLM, a deep learning model that predicts biological function directly from raw amino acid sequences, to scan millions of uncharacterized UniProt proteins. In the documented session, the agent filtered millions of entries down to a bacteriocin of 97 amino acids from the Lactococcin 972 family, and the researcher steered checks against Swiss-Prot via NCBI-BLAST, a 3D model from the AlphaFold Protein Structure Database, and the candidate's genomic neighborhood. The flanking genes placed the candidate 6 base pairs upstream of a tightly coupled operon with an ABC transporter permease and ATP-binding protein, which the post calls strong contextual evidence of a working bacteriocin system. Literature review suggested a mechanism targeting bacterial cell division and a predicted potency spectrum across several drug-resistant pathogens.

## Evidence

Verbatim from https://deepmind.google/blog/accelerating-antimicrobial-discovery/:

> Pengfei Tian, Maxwell L Bileschi, Zoi Tsangalidou, Sukhdeep Singh and Lucy. J. Colwell
> 
> New antibiotics are urgently needed to help with rising levels of antimicrobial resistance, but searching for new therapeutics is often a slow, labor-intensive process. With Google Antigravity, our agentic development platform, this process can now be made easier.
> 
> Google Antigravity provides an agentic science workbench that empowers biologists to discover, structurally evaluate, and prioritize promising targets quickly, compressing what used to be a fragmented search over multiple databases into a single session. 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. The lead identified here is now undergoing wet-lab validation.
> 
> Finding new antimicrobial peptides

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Record: https://forck.live/items/22943-accelerating-the-search-for-antimicrobial-peptides-with-google-antigravity
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