Literature DB >> 16235262

Accurate prediction of basicity in aqueous solution with COSMO-RS.

Frank Eckert1, Andreas Klamt.   

Abstract

The COSMO-RS method, a combination of the quantum chemical dielectric continuum solvation model COSMO with a statistical thermodynamics treatment for realistic solvation simulations, has been used for the prediction of base pK(a) constants. For a variety of 43 organic bases the directly calculated values of the free energies of dissociation in water showed a very good correlation with experimental base pK(a) values (r2 = 0.98), corresponding to a standard deviation of 0.56 pK(a) units. Thus, we have an a priori prediction method for base pK(a) with the regression constant and the slope as only adjusted parameters. In accord with recent findings for pK(a) acidity predictions, the slope of pK(a) vs. DeltaG(diss) was significantly smaller than the theoretically expected value of 1/RTln(10). The predictivity of the presented method is general and not restricted to certain compound classes, but systematic corrections of 1 and 2 pKa units for secondary and tertiary aliphatic amines are required, respectively. The pK(a) prediction method was validated on a set of 58 complex multifunctional drug-like compounds, yielding an RMS accuracy of 0.66 pK(a) units. (c) 2005 Wiley Periodicals, Inc.

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Year:  2006        PMID: 16235262     DOI: 10.1002/jcc.20309

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  16 in total

1.  Prediction of partition and distribution coefficients in various solvent pairs with COSMO-RS.

Authors:  Sofja Tshepelevitsh; Kertu Hernits; Ivo Leito
Journal:  J Comput Aided Mol Des       Date:  2018-05-30       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.  High accuracy quantum-chemistry-based calculation and blind prediction of macroscopic pKa values in the context of the SAMPL6 challenge.

Authors:  Philipp Pracht; Rainer Wilcken; Anikó Udvarhelyi; Stephane Rodde; Stefan Grimme
Journal:  J Comput Aided Mol Des       Date:  2018-08-23       Impact factor: 3.686

4.  Homology modeling and metabolism prediction of human carboxylesterase-2 using docking analyses by GriDock: a parallelized tool based on AutoDock 4.0.

Authors:  Giulio Vistoli; Alessandro Pedretti; Angelica Mazzolari; Bernard Testa
Journal:  J Comput Aided Mol Des       Date:  2010-07-11       Impact factor: 3.686

5.  Single-ion solvation free energies and the normal hydrogen electrode potential in methanol, acetonitrile, and dimethyl sulfoxide.

Authors:  Casey P Kelly; Christopher J Cramer; Donald G Truhlar
Journal:  J Phys Chem B       Date:  2007-01-18       Impact factor: 2.991

6.  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

7.  VR-SCOSMO: A smooth conductor-like screening model with charge-dependent radii for modeling chemical reactions.

Authors:  Erich R Kuechler; Timothy J Giese; Darrin M York
Journal:  J Chem Phys       Date:  2016-04-28       Impact factor: 3.488

8.  Mechanistic aspects of the formation of guanidinohydantoin from spiroiminodihydantoin under acidic conditions.

Authors:  Yu Ye; Barbara H Munk; James G Muller; Alexander Cogbill; Cynthia J Burrows; H Bernhard Schlegel
Journal:  Chem Res Toxicol       Date:  2009-03-16       Impact factor: 3.739

9.  Computational investigation of carbon dioxide absorption in alkanolamine solutions.

Authors:  Hidetaka Yamada; Yoichi Matsuzaki; Firoz Chowdhury; Takayuki Higashii
Journal:  J Mol Model       Date:  2013-01-11       Impact factor: 1.810

10.  High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling.

Authors:  Cory L Strope; Kamel Mansouri; Harvey J Clewell; James R Rabinowitz; Caroline Stevens; John F Wambaugh
Journal:  Sci Total Environ       Date:  2017-09-29       Impact factor: 7.963

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