Machine-Assisted Preparation of a Chiral Diamine Ligand Library and In Silico Screening Using Ab Initio Structural Parameters for Heterogeneous Chiral Catalysts

Tatsuya Kuremoto, Ren Sadatsune, Tomohiro Yasukawa, Yasuhiro Yamashita, Shū Kobayashi

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2 Citations (Scopus)

Abstract

A ligand library containing 31 chiral diamines was synthesized using a flow-based semiautomatic reductive amination system. These ligands were evaluated in a continuous-flow asymmetric 1,4-addition reaction with a heterogeneous Ni catalyst. Based on the experimental results of ab initio DFT calculations, a prediction model for enantioselectivities was successfully constructed. Furthermore, virtual screening of possible ligands was conducted to identify promising structures, which showed good enantioselectivities in experiments. 

Original languageEnglish
Pages (from-to)4204-4208
Number of pages5
JournalAdvanced Synthesis and Catalysis
Volume363
Issue number17
DOIs
Publication statusPublished - 7 Sept 2021
Externally publishedYes

Keywords

  • automatic synthesis
  • flow chemistry
  • heterogeneous catalysis
  • machine learning
  • virtual screening

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