Literature DB >> 19275198

Prediction of the free energy of hydration of a challenging set of pesticide-like compounds.

Andreas Klamt1, Frank Eckert, Michael Diedenhofen.   

Abstract

In a blind validation test the COSMO-RS method, a combination of the quantum chemical dielectric continuum solvation model COSMO with a statistical thermodynamics treatment for more realistic solvation (RS) simulations, has been used for the direct prediction of transfer free energies of 55 demanding pesticide-like compounds. Comparison with experimental data yields an rms deviation of approximately 2 kcal/mol, which is in the order of the estimated inaccuracy of the experimental data. A detailed comparison reveals experimental and calculation pitfalls on conformational flexible, multifunctional, polar compounds.

Year:  2009        PMID: 19275198     DOI: 10.1021/jp805853y

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


  15 in total

1.  Blind prediction test of free energies of hydration with COSMO-RS.

Authors:  Andreas Klamt; Michael Diedenhofen
Journal:  J Comput Aided Mol Des       Date:  2010-04-10       Impact factor: 3.686

2.  Some conclusions regarding the predictions of tautomeric equilibria in solution based on the SAMPL2 challenge.

Authors:  Andreas Klamt; Michael Diedenhofen
Journal:  J Comput Aided Mol Des       Date:  2010-04-08       Impact factor: 3.686

3.  Predicting hydration free energies using all-atom molecular dynamics simulations and multiple starting conformations.

Authors:  Pavel V Klimovich; David L Mobley
Journal:  J Comput Aided Mol Des       Date:  2010-04-06       Impact factor: 3.686

4.  Prediction of free energies of hydration with COSMO-RS on the SAMPL3 data set.

Authors:  Jens Reinisch; Andreas Klamt; Michael Diedenhofen
Journal:  J Comput Aided Mol Des       Date:  2012-05-13       Impact factor: 3.686

5.  Performance of the SMD and SM8 models for predicting solvation free energy of neutral solutes in methanol, dimethyl sulfoxide and acetonitrile.

Authors:  Caroline C Zanith; Josefredo R Pliego
Journal:  J Comput Aided Mol Des       Date:  2014-11-15       Impact factor: 3.686

6.  Extended solvent-contact model approach to SAMPL4 blind prediction challenge for hydration free energies.

Authors:  Hwangseo Park
Journal:  J Comput Aided Mol Des       Date:  2014-02-20       Impact factor: 3.686

7.  Prediction of free energies of hydration with COSMO-RS on the SAMPL4 data set.

Authors:  Jens Reinisch; Andreas Klamt
Journal:  J Comput Aided Mol Des       Date:  2014-01-14       Impact factor: 3.686

8.  Computational Screening of Drug Solvates.

Authors:  Christoph Loschen; Andreas Klamt
Journal:  Pharm Res       Date:  2016-07-28       Impact factor: 4.200

9.  Prediction of cyclohexane-water distribution coefficients with COSMO-RS on the SAMPL5 data set.

Authors:  Andreas Klamt; Frank Eckert; Jens Reinisch; Karin Wichmann
Journal:  J Comput Aided Mol Des       Date:  2016-07-26       Impact factor: 3.686

10.  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

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