Literature DB >> 11924739

Prediction of aqueous solubility of drugs and pesticides with COSMO-RS.

Andreas Klamt1, Frank Eckert, Martin Hornig, Michael E Beck, Thorsten Bürger.   

Abstract

The COSMO-RS method, originally developed for the prediction of liquid-liquid and liquid-vapor equilibrium constants based on quantum chemical calculations, has been extended to solid compounds by addition of a heuristic expression for the Gibbs free energy of fusion. By this addition, COSMO-RS is now capable of a priori prediction of aqueous solubilities of a wide range of typical neutral drug and pesticide compounds. Only three parameters in the heuristic expression have been fitted on a data set of 150 drug-like compounds. On these data an rms deviation of 0.66 log-units was achieved. Later, the model was tested on a set of 107 pesticides, which have been critically selected based on two experimental data sources and by a crosscheck with an independent HQSAR model. On this data set an rms of 0.61 log-units was achieved, without any adjustments to the structurally extremely diverse pesticides. This result verifies the ability of this extended COSMO-RS to predict aqueous solubilities of drugs and pesticides of almost arbitrary structural classes. The new method is COSMO-RSol.

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Year:  2002        PMID: 11924739     DOI: 10.1002/jcc.1168

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


  15 in total

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7.  Machine learning with physicochemical relationships: solubility prediction in organic solvents and water.

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Review 8.  QSPR studies on aqueous solubilities of drug-like compounds.

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Journal:  Int J Mol Sci       Date:  2009-06-03       Impact factor: 6.208

Review 9.  A Novel Integrated Workflow for Isolation Solvent Selection Using Prediction and Modeling.

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Journal:  Org Process Res Dev       Date:  2021-05-05       Impact factor: 3.317

Review 10.  Influences of Crystal Anisotropy in Pharmaceutical Process Development.

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