Google DeepMind adds chemistry skills to its Antigravity agent
Google DeepMind has released Cheminformatics Skills for Google Antigravity, installed through a Science plugin. The model handles planning, database search and reasoning, while standard chemistry tools such as RDKit, with connectors to ChEMBL and PubChem, do the actual molecular calculations. In DeepMind's own walkthrough on lung cancer drugs, the agent gathered thousands of compounds from the literature, ran analyses, built potency models and proposed new molecules with synthesis routes in about an hour, work it says used to take days. DeepMind stresses the designs are hypotheses that must still be made and tested in a lab.
Why it matters: Beyond chemistry, this is a useful pattern for any agent at work: let the model plan and explain, but have trusted, deterministic tools do the calculations where one error matters. If you work in life sciences, DeepMind is offering 10,000 scientists its top Antigravity tier free for six months, subject to selection.
Google DeepMind ↗AI-assisted, reviewed by Sorted AI
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