ProtNLM
AssessTechniques
A protein natural language model that predicts biological function from amino acid sequences.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7Google DeepMind·10/15/2026researchGoogle Antigravity helps speed discovery of antimicrobial peptides
Google DeepMind says its Antigravity agentic development platform can help biologists search, evaluate, and prioritize antimicrobial peptide candidates in one workflow. The example shown used the system with ProtNLM and UniProt data to identify a novel candidate with predicted activity against respiratory infection pathogens, now in wet-lab validation.