# Google DeepMind says Antigravity speeds up drug discovery

- Published: 2026-11-03T17:01:49.000Z
- Updated: 2026-11-04T10:03:56.458Z
- Section: Models
- Topics: Agents, Research, Productivity
- Page: https://aidailyjournal.com/en/n/2026/11/03/google-deepmind-says-antigravity-speeds-up-drug-discovery/
- Sources: [Google DeepMind](https://deepmind.google/blog/agentic-cheminformatics-with-google-antigravity)

## Summary

Google DeepMind says Google Antigravity, equipped with its new Cheminformatics Skills, can accelerate tasks that typically take multiple days per iteration. In an example based on real-world lung cancer treatments, the agent searched thousands of compounds, performed matched molecular pair analysis and proposed novel rigidified macrocycles, including synthetic routes, in one hour.

According to Google DeepMind, the tools combine a language model for workflow orchestration, database navigation and scientific reasoning with deterministic tools for molecular calculations. They are grounded in RDKit and connected to resources from ChEMBL and PubChem. The article also uses the transformation from crizotinib to lorlatinib to explain how rigidification can reduce rotatable bonds and improve a drug’s potency.

## Why it matters (editorial interpretation)

The approach described by Google DeepMind combines language-model orchestration with deterministic tools and chemical databases, a design that could speed up the exploration of candidates in drug-discovery research. The example also illustrates how agents can link search, analysis and synthetic planning in a single workflow.

_Summary written by AI Daily Journal in its own words, based on the sources above. For details, read the original articles._