Insight into Substrate Recognition by Urea-Based Helical Foldamer Catalysts Using a DFT Global Optimization Approach - Archive ouverte HAL
Article Dans Une Revue Journal of Organic Chemistry Année : 2022

Insight into Substrate Recognition by Urea-Based Helical Foldamer Catalysts Using a DFT Global Optimization Approach

Résumé

Peptides and foldamers have recently gained increasing attention as chiral catalysts to achieve challenging (asymmetric) transformations. We previously reported that short helically folded aliphatic oligoureas in combination with achiral Brønsted bases are effective H-bonding catalysts for C-C bondforming reactions�i.e., the conjugate addition of 1,3-dicarbonyl pronucleophiles to nitroalkenes�with high reactivity and selectivity and at remarkably low chiral catalyst/substrate molar ratios. This theoretical investigation at the density functional theory level of theory, aims to both analyze how the substrates of the reaction interact with the foldamer catalyst and rationalize a chain-length dependence effect on the catalytic properties. We confirm that the first two ureas are the only H-bond donors available to interact with external molecules. Moreover, each urea site interacts with one of the two reactants allowing a short distance between the two reacting carbons, thus facilitating the conjugated addition. Additionally, it was observed that the molecular recognition and catalyst-substrate interactions are mainly governed by electrostatic interactions but not orbital interactions (see from NBO if this is finally true). On these grounds, an electrostatic potential (ESP) analysis showed an important internal charge separation in the catalyst, the positive ESP region being concentrated around the first two ureas, with its area extending as the number of residues increases.

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Chimie
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Dates et versions

hal-04702204 , version 1 (19-09-2024)

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Yaidel Toledo-González, Jean-Marc Sotiropoulos, Diane Bécart, Gilles Guichard, Philippe Carbonnière. Insight into Substrate Recognition by Urea-Based Helical Foldamer Catalysts Using a DFT Global Optimization Approach. Journal of Organic Chemistry, 2022, 87 (16), pp.10726-10735. ⟨10.1021/acs.joc.2c00562⟩. ⟨hal-04702204⟩
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