DeepMind uses Antigravity to accelerate antimicrobial peptide discovery
10/16/2026 — 10/16, 00:23·1 sources (all)·1 reports (all)·In the 2026-10-16 briefing
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- Google DeepMind detailed how biologists used its agent development platform, Google Antigravity, to discover a novel antimicrobial peptide c…
Google DeepMind detailed how biologists used its agent development platform, Google Antigravity, to discover a novel antimicrobial peptide candidate predicted to be active against respiratory infection pathogens. It has entered wet-lab validation. The platform compresses searches across multiple databases into a single session and uses ProtNLM to scan millions of previously uncharacterized proteins in UniProt.
Latest turnGoogle DeepMind describes how biologists used its agentic development platform Google Antigravity to surface a novel antimicrobial peptide candidate with predicted activity against respiratory-tract pathogens; the lead is now undergoing wet-lab validation. The platform compresses a search once spread across multiple databases into a single session, and uses ProtNLM to scan millions of previously uncharacterized proteins in UniProt.
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Google DeepMind describes how biologists used its agentic development platform Google Antigravity to surface a novel antimicrobial peptide candidate with predicted activity against respiratory-tract pathogens; the lead is now undergoing wet-lab validation. The platform compresses a search once spread across multiple databases into a single session, and uses ProtNLM to scan millions of previously uncharacterized proteins in UniProt.
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