@OpenAI: Maria tested the idea across 10,080 reactions, and human chemists later validated representative results by hand. Under…
Summary
OpenAI and Molecule.one collaborated to have their AI systems (GPT-5.4 and Maria) autonomously select research areas, generate proposals, and run experiments in organic chemistry, achieving yield improvements for 88% of tested reactions — a first for AI-driven open-ended scientific discovery.
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Maria tested the idea across 10,080 reactions, and human chemists later validated representative results by hand.
Under the optimized conditions, yields improved for 88% of the boronic acids and 83% of the sulfonamides tested.
Human chemists then repeated 14 representative https://t.co/9ElXbkDYBW
Chemistry AI for Autonomous Discovery
Source: https://molecule.one/ Molecule.one’s Maria™ unites AI, Lab, and Data to power near-autonomous research for drug discovery & manufacturing. Commercially proven.
OpenAI and molecule.one collaboration:
Chan-Lam Synthesis Discovery OA1-M1-003
In a first for organic chemistry, Molecule.one & OpenAI have successfully put AI to work on an open-ended scientific problem. GPT-5.4 & Maria AI picked the research area, generated proposals, rated them, and ran the experiments in the Maria Lab. OpenAI post|Preprint
The Maria™ AI platform
### Maria AI Frontier chemistry models combined in an agentic framework to solve chemical problems and discover new chemistry
### Maria Lab The revolutionary, micro-liter scale HTE lab directed by Maria AI and tailored for her workflows
### Maria Data The industry leading, novel data set generated at Maria AI’s direction in her purpose-built lab
Press Highlights
Grace and Molecule.one to Transform Peptide Building Block Synthesis with AI and Automation December 8, 2025
Standard Industries Announces Molecule.one as Winner of $1 Million AI Challenge June 12, 2025
TechBio Spotlight – Molecule.one by Mason Victors October 15, 2024
CAS and Molecule.one Announce a Strategic Collaboration to Accelerate Drug Discovery August 11, 2023
Papers
- JCIM, 2021
Molecule Edit Graph Attention Network: Modeling Chemical Reactions as Sequences of Graph Edits 2021 - EFMC-ASMC 2025
10× Higher Hit Rates At 3–10× Lower Cost: Accelerating Ligand Discovery With ML-Guided Synthesis & Screening 2025 - NeurIPS Workshop AI4Science, 2025
Trustworthy Retrosynthesis: Mitigating Hallucinations with Reaction Plausibility Filtering and Retrieval-Augmented Scoring 2025 - NeurIPS Workshop AI4Science, 2025
Scaling High-Throughput Experimentation Unlocks Robust Reaction-Outcome Prediction 2025 - Journal of Cheminformatics, 2024
Relative molecule self-attention transformer 2024
Case studies
- Engineering Serendipity: Rapid Single-Iteration Hit Discovery using Plate Analogs in μSpaceM1 Case Study
First Application of AI-Driven Small Molecule Synthesis in a Non-Pharmaceutical Industry Case Study
Accelerating Hit-to-Lead Campaigns with molecule.one Case Study
Rapid, Single-Iteration Hit Identification for CLK1 using Direct-to-Biology Case Study
Posts
- How Did a Startup End Up Running World’s Largest Microliter-Scale HTE Reaction Campaign? October 31, 2025
- Trustworthy Retrosynthesis: How a Culture of Chemist-AI Collaboration Won $1M and Led to a Strategic Partnership with W.R. Grace December 11, 2025
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