Google Antigravity agent compresses days of drug-discovery work into about an hour
import_jmr · x · 2026-11-05
The Google Antigravity team demonstrated an AI agent completing days of computational drug-discovery work in a single session:
- Analyzed thousands of compounds tied to lung cancer treatments (crizotinib/lorlatinib series)
- Built ML models predicting molecular potency (QSAR for ALK pIC50 with scaffold splits)
- Proposed novel molecular structures and synthesis routes (new 12-membered macrocycles with cyclization schemes)
Screenshots show a curated 558-compound dataset, multi-endpoint potency models, matched molecular pair analysis, and a full report — a glimpse of AI actively orchestrating scientific discovery.
Related event: DeepMind's Antigravity Agent Compresses Days of Drug Design into One Hour(2 posts)→
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