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Convergence of multiple synthetic paradigms in a universally programmable chemical synthesis machine.

Davide AngeloneAlexander J S HammerSimon RohrbachStefanie KrambeckJarosław M GrandaJakob B WolfSergey S ZalesskiyGreig ChisholmLeroy Cronin
Published in: Nature chemistry (2020)
Although the automatic synthesis of molecules has been established, each reaction class uses bespoke hardware. This means that the connection of multi-step syntheses in a single machine to run many different protocols and reactions is not possible, as manual intervention is required. Here we show how the Chemputer synthesis robot can be programmed to perform many different reactions, including solid-phase peptide synthesis, iterative cross-coupling and accessing reactive, unstable diazirines in a single, unified system with high yields and purity. Developing universal and modular hardware that can be automated using one software system makes a wide variety of batch chemistry accessible. This is shown by our system, which performed around 8,500 operations while reusing only 22 distinct steps in 10 unique modules, with the code able to access 17 different reactions. We also demonstrate a complex convergent robotic synthesis of a peptide reacted with a diazirine-a process requiring 12 synthetic steps.
Keyphrases
  • deep learning
  • randomized controlled trial
  • machine learning
  • high throughput
  • computed tomography
  • magnetic resonance imaging
  • robot assisted