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Structures and stabilities of naturally occurring cyclodextrins: a theoretical study of symmetrical conformers

Overview of attention for article published in Journal of Molecular Modeling, October 2017
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Title
Structures and stabilities of naturally occurring cyclodextrins: a theoretical study of symmetrical conformers
Published in
Journal of Molecular Modeling, October 2017
DOI 10.1007/s00894-017-3488-4
Pubmed ID
Authors

Juan José Gamboa-Carballo, Vijay Kumar Rana, Joëlle Levalois-Grützmacher, Sarra Gaspard, Ulises Jáuregui-Haza

Abstract

A molecular modeling study of symmetrical conformers of α-, β-, and γ-cyclodextrins in the gas and aqueous phases was carried out using the M06-2X density functional method, with SMD employed as an implicit solvation model. Eight symmetrical conformers were found for each cyclodextrin. Values of geometrical parameters obtained from the modeling study were found to agree well with those obtained from X-ray diffraction structures. A vibrational analysis using harmonic frequencies was performed to determine thermodynamic quantities. The GIAO method was applied to determine proton and carbon-13 NMR chemical shifts, which were then compared with corresponding chemical shifts reported in the literature. Hydrogen-bonding patterns were analyzed using geometrical descriptors, and quantum chemical topology was explored by QTAIM analysis. The results of this study indicated that four of the eight conformers studied for each cyclodextrin are the most populated in aqueous solution. These results provide the foundations for future studies of host-guest complexes involving these cyclodextrins. Graphical abstract δΔGsolvation: variation of free Gibss energy of solvation.

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The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Researcher 3 20%
Professor 2 13%
Unspecified 1 7%
Student > Doctoral Student 1 7%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Chemistry 7 47%
Chemical Engineering 1 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Unspecified 1 7%
Social Sciences 1 7%
Other 1 7%
Unknown 3 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 October 2017.
All research outputs
#18,574,814
of 23,006,268 outputs
Outputs from Journal of Molecular Modeling
#529
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Outputs of similar age
#251,817
of 328,577 outputs
Outputs of similar age from Journal of Molecular Modeling
#5
of 12 outputs
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