Literature DB >> 18341326

Quantum chemistry in solution by combining 3D integral equation theory with a cluster embedding approach.

Thomas Kloss1, Jochen Heil, Stefan M Kast.   

Abstract

Free energy changes associated with chemical reactions in solution are treated by integral equation theory in the form of the 3D reference interaction site model (RISM) in combination with quantum-chemical calculations via an embedded cluster approach (EC-RISM). The electronic structure of the solute is computed self-consistently with the solvent structure by mapping the charge distribution of the solvent onto a set of discrete background point charges that are added to the molecular Hamiltonian. The EC-RISM procedure yields chemical accuracy in free energy predictions for several benchmark systems without adjusting empirical parameters. We apply the method to the standard reaction free energy for the gauche-trans equilibrium of 1,2-dichloroethane in water and to pKa shift calculations for trifluoroacetic acid/acetic acid and 4-nitroaniline/aniline in water.

Entities:  

Year:  2008        PMID: 18341326     DOI: 10.1021/jp710680m

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  12 in total

1.  Prediction of tautomer ratios by embedded-cluster integral equation theory.

Authors:  Stefan M Kast; Jochen Heil; Stefan Güssregen; K Friedemann Schmidt
Journal:  J Comput Aided Mol Des       Date:  2010-03-30       Impact factor: 3.686

2.  The SAMPL6 challenge on predicting aqueous pKa values from EC-RISM theory.

Authors:  Nicolas Tielker; Lukas Eberlein; Stefan Güssregen; Stefan M Kast
Journal:  J Comput Aided Mol Des       Date:  2018-08-02       Impact factor: 3.686

3.  The SAMPL5 challenge for embedded-cluster integral equation theory: solvation free energies, aqueous pK a, and cyclohexane-water log D.

Authors:  Nicolas Tielker; Daniel Tomazic; Jochen Heil; Thomas Kloss; Sebastian Ehrhart; Stefan Güssregen; K Friedemann Schmidt; Stefan M Kast
Journal:  J Comput Aided Mol Des       Date:  2016-08-23       Impact factor: 3.686

4.  Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge.

Authors:  Mehtap Işık; Teresa Danielle Bergazin; Thomas Fox; Andrea Rizzi; John D Chodera; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2020-02-27       Impact factor: 3.686

5.  Prediction of the n-octanol/water partition coefficients in the SAMPL6 blind challenge from MST continuum solvation calculations.

Authors:  William J Zamora; Silvana Pinheiro; Kilian German; Clara Ràfols; Carles Curutchet; F Javier Luque
Journal:  J Comput Aided Mol Des       Date:  2019-11-27       Impact factor: 3.686

6.  Tautomeric Equilibria of Nucleobases in the Hachimoji Expanded Genetic Alphabet.

Authors:  Lukas Eberlein; Frank R Beierlein; Nico J R van Eikema Hommes; Ashish Radadiya; Jochen Heil; Steven A Benner; Timothy Clark; Stefan M Kast; Nigel G J Richards
Journal:  J Chem Theory Comput       Date:  2020-03-20       Impact factor: 6.006

7.  Acidity in DMSO from the embedded cluster integral equation quantum solvation model.

Authors:  Jochen Heil; Daniel Tomazic; Simon Egbers; Stefan M Kast
Journal:  J Mol Model       Date:  2014-03-25       Impact factor: 1.810

8.  The SAMPL6 challenge on predicting octanol-water partition coefficients from EC-RISM theory.

Authors:  Nicolas Tielker; Daniel Tomazic; Lukas Eberlein; Stefan Güssregen; Stefan M Kast
Journal:  J Comput Aided Mol Des       Date:  2020-01-24       Impact factor: 3.686

9.  Prediction of n-octanol/water partition coefficients and acidity constants (pKa) in the SAMPL7 blind challenge with the IEFPCM-MST model.

Authors:  Antonio Viayna; Silvana Pinheiro; Carles Curutchet; F Javier Luque; William J Zamora
Journal:  J Comput Aided Mol Des       Date:  2021-07-10       Impact factor: 3.686

10.  Quantum-mechanical property prediction of solvated drug molecules: what have we learned from a decade of SAMPL blind prediction challenges?

Authors:  Nicolas Tielker; Lukas Eberlein; Gerhard Hessler; K Friedemann Schmidt; Stefan Güssregen; Stefan M Kast
Journal:  J Comput Aided Mol Des       Date:  2020-10-20       Impact factor: 3.686

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