Substrate specific closed-loop optimization of carbohydrate protective group chemistry using Bayesian optimization and transfer learning-Reference-Cited by-同舟云学术

Substrate specific closed-loop optimization of carbohydrate protective group chemistry using Bayesian optimization and transfer learning

Published:2023 Issue:23 Volume:14 Page:6319-6329
ISSN:2041-6520
Container-title:Chemical Science
language:en
Short-container-title:Chem. Sci.

Author:

Faurschou Natasha Videcrantz¹,Taaning Rolf Hejle²,Pedersen Christian Marcus¹^ORCID

Affiliation:

1. Department of Chemistry, University of Copenhagen, Universitetsparken 5, 2100 Copenhagen Ø, Denmark

2. LEO Pharma, A/S Industriparken 55, 2750 Ballerup, Denmark

Abstract

Closed-loop optimizations of regioselective benzoylations of unprotected carbohydrates using automated synthesis and Bayesian optimization. The autonomous search revealed novel procedures for both regioselective mono and dibenzoylations.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/SC/D3SC01261A

Reference54 articles.

1. Bayesian reaction optimization as a tool for chemical synthesis

2. Bayesian optimization with constraint on passed charge for multiparameter screening of electrochemical reductive carboxylation in a flow microreactor

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4. Rapid and Mild One‐Flow Synthetic Approach to Unsymmetrical Sulfamides Guided by Bayesian Optimization

5. Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform

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