2007
DOI: 10.1039/b706045a
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Molecular recognition in molecular tweezers systems: quantum-chemical calculation of NMR chemical shifts

Abstract: Quantum-chemical calculations for molecular tweezers systems are presented, where the focus is not only on the recognition process in the host-guest systems, but on the self aggregation of the tweezers host as well. Such intermolecular interactions influence the corresponding NMR spectra strongly by up to 6 ppm for proton chemical shifts, since ring-current effects are particularly important. The quantum-chemical results allow one to reliably assign the spectra and to gain information both on the structure and… Show more

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Cited by 20 publications
(32 citation statements)
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“…In this way, we study the convergence of calculated proton NMR chemical shieldings at DFT and HF levels, where we expect that the major effects of neighboring groups are sufficiently accounted for by the tridecamer. This corresponds to the second challenge mentioned above, whereas the first and third challenges for the present system have been discussed earlier [12,35] and will be briefly re-examined below.…”
Section: Computational Detailsmentioning
confidence: 99%
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“…In this way, we study the convergence of calculated proton NMR chemical shieldings at DFT and HF levels, where we expect that the major effects of neighboring groups are sufficiently accounted for by the tridecamer. This corresponds to the second challenge mentioned above, whereas the first and third challenges for the present system have been discussed earlier [12,35] and will be briefly re-examined below.…”
Section: Computational Detailsmentioning
confidence: 99%
“…While we were able to gain useful information by quantum-chemical simulation of NMR spectra for a variety of similar systems [6,10,12,[35][36][37][38][39][40][41][42], we focus in our present work on the study of a dicyanobenzene (DCNB) tweezer host-guest complex (see Fig. 1) and compare the experimentally observed MAS-NMR proton shieldings to quantum-chemically calculated shieldings for different fragment sizes of the solid-state structure.…”
Section: Computational Detailsmentioning
confidence: 99%
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