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Carbohydrates are polymers composed of molecules containing atoms of carbon, hydrogen and oxygen. One gram of carbohydrate can provide four kilo-calories of energy, which makes it the most efficient instant energy source.
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Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
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Updated: Jul 26, 2025

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092
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Substrate specific closed-loop optimization of carbohydrate protective group chemistry using Bayesian optimization

Natasha Videcrantz Faurschou1, Rolf Hejle Taaning2, Christian Marcus Pedersen1

  • 1Department of Chemistry, University of Copenhagen Universitetsparken 5 2100 Copenhagen Ø Denmark cmp@chem.ku.dk.

Chemical Science
|June 16, 2023
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Summary
This summary is machine-generated.

This study introduces Bayesian optimization for carbohydrate chemistry, enhancing regioselective benzoylation reactions. This method accelerates optimization and reveals novel reagent combinations for efficient synthesis.

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Area of Science:

  • Carbohydrate Chemistry
  • Organic Synthesis
  • Computational Chemistry

Background:

  • Regioselective functionalization of carbohydrates is crucial for synthesizing complex glycans.
  • Traditional optimization methods can be time-consuming and may not explore the full chemical space.
  • Unprotected glycosides present challenges in selective modification due to multiple reactive sites.

Purpose of the Study:

  • To develop a novel closed-loop optimization strategy for regioselective benzoylation of unprotected glycosides.
  • To apply Bayesian optimization to efficiently identify optimal reaction conditions.
  • To introduce a transfer learning approach to accelerate optimization processes.

Main Methods:

  • Closed-loop Bayesian optimization was employed for reaction parameter screening.
  • Regioselective 6-O-monobenzoylation and 3,6-O-dibenzoylation of monosaccharides were optimized.
  • A transfer learning methodology was implemented using data from prior optimizations.

Main Results:

  • Optimal conditions for regioselective benzoylation were rapidly identified using Bayesian optimization.
  • A novel reagent combination (triethylamine and benzoic anhydride) was discovered, expanding the chemical space.
  • The optimized procedures operate under ambient conditions with short reaction times.
  • Transfer learning significantly reduced the number of experiments required for optimization.

Conclusions:

  • Bayesian optimization provides an efficient and powerful platform for reaction optimization in carbohydrate chemistry.
  • The discovered conditions and reagent combinations offer new insights into substrate specificity and synthetic strategies.
  • This approach accelerates the discovery of novel synthetic routes and widens the accessible chemical space for carbohydrate modification.