Literature DB >> 22120043

Polarization charge densities provide a predictive quantification of hydrogen bond energies.

Andreas Klamt1, Jens Reinisch, Frank Eckert, Arnim Hellweg, Michael Diedenhofen.   

Abstract

A systematic density functional theory based study of hydrogen bond energies of 2465 single hydrogen bonds has been performed. In order to be closer to liquid phase conditions, different from the usual reference state of individual donor and acceptor molecules in vacuum, the reference state of donors and acceptors embedded in a perfect conductor as simulated by the COSMO solvation model has been used for the calculation of the hydrogen bond energies. The relationship between vacuum and conductor reference hydrogen bond energies is investigated and interpreted in the light of different physical contributions, such as electrostatic energy and dispersion. A very good correlation of the DFT/COSMO hydrogen bond energies with conductor polarization charge densities of separated donor and acceptor atoms was found. This provides a method to predict hydrogen bond strength in solution with a root mean square error of 0.36 kcal mol(-1) relative to the quantum chemical dimer calculations. The observed correlation is broadly applicable and allows for a predictive quantification of hydrogen bonding, which can be of great value in many areas of computational, medicinal and physical chemistry.

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Year:  2011        PMID: 22120043     DOI: 10.1039/c1cp22640a

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  4 in total

1.  Charting Hydrogen Bond Anisotropy.

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Journal:  J Chem Theory Comput       Date:  2020-03-10       Impact factor: 6.006

2.  The effect of the cation alkyl chain branching on mutual solubilities with water and toxicities.

Authors:  Kiki A Kurnia; Tânia E Sintra; Catarina M S S Neves; Karina Shimizu; José N Canongia Lopes; Fernando Gonçalves; Sónia P M Ventura; Mara G Freire; Luís M N B F Santos; João A P Coutinho
Journal:  Phys Chem Chem Phys       Date:  2014-10-07       Impact factor: 3.676

3.  Machine learning models for hydrogen bond donor and acceptor strengths using large and diverse training data generated by first-principles interaction free energies.

Authors:  Christoph A Bauer; Gisbert Schneider; Andreas H Göller
Journal:  J Cheminform       Date:  2019-09-11       Impact factor: 5.514

4.  The β-cyclodextrin/benzene complex and its hydrogen bonds - a theoretical study using molecular dynamics, quantum mechanics and COSMO-RS.

Authors:  Jutta Erika Helga Köhler; Nicole Grczelschak-Mick
Journal:  Beilstein J Org Chem       Date:  2013-01-18       Impact factor: 2.883

  4 in total

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