Across-the-World Automated Optimization and Continuous-Flow Synthesis of Pharmaceutical Agents Operating Through a Cloud-Based Server.
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Fitzpatrick, Daniel E https://orcid.org/0000-0003-3462-1852
Maujean, Timothé
Evans, Amanda C https://orcid.org/0000-0001-7252-3714
Ley, Steven V https://orcid.org/0000-0002-7816-0042
Abstract
The power of the Cloud has been harnessed for pharmaceutical compound production with remote servers based in Tokyo, Japan being left to autonomously find optimal synthesis conditions for three active pharmaceutical ingredients (APIs) in laboratories in Cambridge, UK. A researcher located in Los Angeles, USA controlled the entire process via an internet connection. The constituent synthetic steps for Tramadol, Lidocaine, and Bupropion were thus optimized with minimal intervention from operators within hours, yielding conditions satisfying customizable evaluation functions for all examples.
Description
Keywords
continuous synthesis, flow chemistry, self-optimization, Analgesics, Opioid, Anesthetics, Local, Antidepressive Agents, Second-Generation, Bupropion, Chemistry Techniques, Synthetic, Cloud Computing, Drug Industry, Equipment Design, Japan, Lidocaine, Tramadol, United Kingdom, United States
Journal Title
Angew Chem Int Ed Engl
Conference Name
Journal ISSN
1433-7851
1521-3773
1521-3773
Volume Title
57
Publisher
Wiley
Publisher DOI
Sponsorship
Engineering and Physical Sciences Research Council (EP/M004120/1)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (737266)
Engineering and Physical Sciences Research Council (EP/K009494/1)
Engineering and Physical Sciences Research Council (EP/K039520/1)
European Commission Horizon 2020 (H2020) Future and Emerging Technologies (FET) (737266)
Engineering and Physical Sciences Research Council (EP/K009494/1)
Engineering and Physical Sciences Research Council (EP/K039520/1)
Woolf Fisher Trust (DEF), EPSRC (SVL; grant codes EP/K009494/1, EP/K039520/1 and EP/M004120/1) and H2020-FETOPEN-2016-2017 programme of European commission (DEF, SVL; grant agreement number: 737266-ONE FLOW).