Literature DB >> 30498165

Organic synthesis in a modular robotic system driven by a chemical programming language.

Sebastian Steiner1, Jakob Wolf1, Stefan Glatzel1, Anna Andreou1, Jarosław M Granda1, Graham Keenan1, Trevor Hinkley1, Gerardo Aragon-Camarasa1,2, Philip J Kitson1, Davide Angelone1, Leroy Cronin3.   

Abstract

The synthesis of complex organic compounds is largely a manual process that is often incompletely documented. To address these shortcomings, we developed an abstraction that maps commonly reported methodological instructions into discrete steps amenable to automation. These unit operations were implemented in a modular robotic platform by using a chemical programming language that formalizes and controls the assembly of the molecules. We validated the concept by directing the automated system to synthesize three pharmaceutical compounds, diphenhydramine hydrochloride, rufinamide, and sildenafil, without any human intervention. Yields and purities of products and intermediates were comparable to or better than those achieved manually. The syntheses are captured as digital code that can be published, versioned, and transferred flexibly between platforms with no modification, thereby greatly enhancing reproducibility and reliable access to complex molecules.
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Year:  2018        PMID: 30498165     DOI: 10.1126/science.aav2211

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  40 in total

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5.  Facilitating chemical and biochemical experiments with electronic microcontrollers and single-board computers.

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9.  Combining generative artificial intelligence and on-chip synthesis for de novo drug design.

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Review 10.  Digitising chemical synthesis in automated and robotic flow.

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Journal:  Chem Sci       Date:  2020-10-07       Impact factor: 9.825

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