Active Chemistry Computing & AI

Chemobots: Digital-Chemical-Robotics to Convert Code to Molecules and Complex Systems

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AI plain-English summary

A chemist could soon write a recipe for a new molecule in a computer language, and have a modular robot—a Chemobot—cook it up automatically. This matters because making molecules today is slow, manual, and hard to reproduce. Every lab essentially reinvents the process. The researchers aim to create a universal chemical synthesis machine—the Chemputer—that treats chemistry like software: a high-level code drives a standard set of hardware modules (addition, reaction, separation, purification). They have already shown the concept works in *Science* and *Nature*. If successful, this could transform how drugs, agrochemicals, and advanced materials are discovered and manufactured. Instead of a chemist spending weeks at a bench, a networked set of Chemobots could run hundreds of reactions autonomously, testing variations and flagging the most promising candidates. It would also make chemical synthesis reproducible across labs—a persistent headache in the field—and improve safety by removing people from hazardous steps. This is fundamental science with a clear engineering goal. The immediate payoff is a platform that lets chemists focus on design, not manual labour, and that could eventually accelerate the pipeline from molecule idea to real-world product.

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Our aim is to develop an approach to make and discover molecules using a chemical programming language that is run in a modular Chemical-Robot or Chemobot. To do this we need to develop a 'Universal Chemical Synthesis Machine' architecture which we will refer to here as 'the Chemputer'. The Chemputer represents a new architecture for running chemical synthesis, and will be realised by the development of a portable and modular approach to chemistry. To do this we must establish the ontological relationships and abstractions to allow the development of a code that will drive machine-independent universal synthesis. This ontology will connect a high-level chemical programming language we will develop to the low-level machine code to run the modular Chemobots. The Chemobots will be designed and built around batch 'flask' synthesis and can be networked together allowing the molecules to be made in steps. By establishing the framework and building the underlying firmware, software, and abstractions, we will demonstrate the Chemputer by developing modular robots capable of chemistry, Chemobots. These will be built around batch 'flask' synthesis and can be networked together allowing the molecules to be made discretely in steps. Although synthetic chemistry is complex and demanding, a chemical reaction only requires five operations: i) addition of reagents; ii) reaction process; iii) work-up; iv) separation; v) purification. We will take our Chemputer standard, comprising five modules for batch operations, and enlist our expert pioneer collaborators and industrial stake holders, to test and validate our approach. Importantly, we have already validated the concept of chemical digitization, and the platform approach highlighted by our recent publications in Science and Nature earlier this year. Also, this work builds on our previous programme grant 'digital-synthesis' in terms of our technical abilities to build platforms and write software. However, the vision of the Chemputer architecture represents a step change, resulting in practical Chemobots. We will use the systems of modular Chemobots to also explore reproducibility, and to improve the environment for the chemist from a workflow, safety, and pedagogical point of view. In addition, the ability to individually validate and digitize reactions one by one should allow for the ability to synthesize very complex molecules autonomously as the stability and usability of the systems improve. We will start using our preliminary platform as a 'generation 0' to enable the development of the abstraction, architecture, and ontologies for digital chemistry. As the Chemobots are developed we will explore new reactions using sensors and statistics driven design of experiments to target unknown molecules with target-assay driven search algorithms.

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Researchers

Alexei Lapkin (Co-Investigator)Dave Adams (Co-Investigator)David Woods (Co-Investigator)Gerardo Aragon-Camarasa (Co-Investigator)J Stephen Clark (Co-Investigator)Leroy Cronin (Principal Investigator)Mark Symes (Co-Investigator)Miles Padgett (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

CHEMIFY: A System to Produce Universal Digital Chemical Synthesis
Programmable 'Digital' Synthesis for Discovery & Scale-up of Molecules, Clusters & Nanomaterials
Synthesis and Structure Elucidation of Natural Products
Mobile Robotic Chemists for Autonomous Synthetic Chemistry
Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists

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Research Grant

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