Literature DB >> 31793133

A Preorganized Hydrogen-Bonding Motif for the Molecular Recognition of Carbohydrates.

Oscar Francesconi1, Federico Cicero1, Cristina Nativi1, Stefano Roelens1.   

Abstract

The choice between adaptive and preorganized architectures, or of the most effective hydrogen bonding groups to be selected, are dilemmas that supramolecular chemists must address in designing synthetic receptors for such a challenging guest as carbohydrates. In this paper, structurally related architectures featuring two alternative hydrogen bonding motifs were compared to ascertain the structural and functional origin of their binding differences and the advantages that can be expected in monosaccharide recognition. A set of structurally related macrocyclic receptors were prepared, and their binding properties were measured by NMR and ITC techniques in chloroform vs a common saccharidic target, namely, the β-octyl glycoside of D-glucose. Results showed that the diaminocarbazolic motif, recently reported as the constituting unit of highly effective receptors for saccharides in water, is a superior hydrogen bonding motif compared to the previously described diaminopyrrolic motif, which was successfully employed in molecular recognition of carbohydrates in polar organic solvents, due to intrinsic structural and functional factors, rather than to hydrophobic contributions. In addition, the occurrence of a rare example of a thermodynamic template effect exerted by the beta-glucoside has been ascertained, enhancing the synthesis outcome of the otherwise low yielding preparation of the described macrocyclic receptors.
© 2019 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  carbohydrates; hydrogen bonds; macrocycles; molecular recognition; receptors

Mesh:

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Year:  2020        PMID: 31793133     DOI: 10.1002/cphc.201900907

Source DB:  PubMed          Journal:  Chemphyschem        ISSN: 1439-4235            Impact factor:   3.102


  1 in total

1.  A Sulfonated Tweezer-Shaped Receptor Selectively Recognizes Caffeine in Water.

Authors:  Oscar Francesconi; Andrea Ienco; Francesco Papi; Marta Dolce; Andrea Catastini; Cristina Nativi; Stefano Roelens
Journal:  J Org Chem       Date:  2022-02-02       Impact factor: 4.354

  1 in total

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