A near-autonomous AI chemist improves a challenging reaction in medicinal chemistry
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With Molecule.one’s Maria, GPT‑5.4 found a surprising additive boosting Chan-Lam Coupling yields for over 80% of tested substrates.
Key facts
- Of the other three proposals generated by GPT‑5.4 and tested by Maria during the three-month period, OAI-M1-02 and OAI-M1-04 were experimentally proven in the Maria Lab, while OAI-M1-01 was disproven
- With Molecule.one’s Maria, GPT‑5.4 found a surprising additive boosting Chan-Lam Coupling yields for over 80% of tested substrates
- The mean yield rose from 16.6% to 25.2%, and the share of reactions above 30% yield increased from 15.6% to 37.5%
- Maria Lab: Molecule.one's specialized high-throughput laboratory that ran 10,080 reactions in OAI-M1-03
Summary
OpenAI’s work in science is motivated by a simple belief: advanced AI can become a powerful partner for scientists, helping them explore more ideas, connect distant concepts, design better experiments, and accelerate discoveries that benefit humanity. This project extends that trajectory into medicinal chemistry, where progress cannot be measured by reasoning alone. Working with Molecule.one , they connected GPT‑5.4 to Maria—an agentic chemistry AI integrated with a high-throughput laboratory for autonomous research—and gave it an open-ended goal: to improve one of several important reaction classes. The most promising proposal, OAI-M1-03, focused on a difficult but useful version of Chan–Lam coupling, a reaction chemists use to form carbon-nitrogen bonds. Across two cycles of experimentation in Maria Lab that idea produced a significant improvement.