A robotic platform for flow synthesis of organic compounds informed by AI planning

2019 Science 995 citations

Abstract

Pairing prediction and robotic synthesis Progress in automated synthesis of organic compounds has been proceeding along parallel tracks. One goal is algorithmic prediction of viable routes to a desired compound; the other is implementation of a known reaction sequence on a platform that needs little to no human intervention. Coley et al. now report preliminary integration of these two protocols. They paired a retrosynthesis prediction algorithm with a robotically reconfigurable flow apparatus. Human intervention was still required to supplement the predictor with practical considerations such as solvent choice and precise stoichiometry, although predictions should improve as accessible data accumulate for training. Science , this issue p. eaax1566

Keywords

Retrosynthetic analysisComputer scienceOrganic solventRoboticsIntervention (counseling)Artificial intelligenceFlow (mathematics)Sequence (biology)Organic synthesisMachine learningRobotChemistryEngineeringOrganic chemistryMathematicsChemical engineering

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Year
2019
Type
article
Volume
365
Issue
6453
Citations
995
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Closed

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Connor W. Coley, Dale A. Thomas, Justin A. M. Lummiss et al. (2019). A robotic platform for flow synthesis of organic compounds informed by AI planning. Science , 365 (6453) . https://doi.org/10.1126/science.aax1566

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DOI
10.1126/science.aax1566