Literature DB >> 28820591

Predicting Relative Stability of Conformers in Solution with COSMO-RS.

Astrid Pung1, Ivo Leito1.   

Abstract

The ability of the COSMO-RS method to predict the relative stability of different conformers of the same species in solution was evaluated by comparing computational results with experimental conformer data for 105 molecules from 20 literature sources. The solvents CDCl3, CD2Cl2, benzene, toluene, ethyl ether, tetrahydrofuran, acetone, dimethylformamide, DMSO (and DMSO-d6), water, and ethanol were used (dictated by the solvents used in the literature). In the case of 16 molecules the quantitative conformer abundances were also available and were compared with the data from computations. The results show that although COSMO-RS reproduces the conformer abundances only very approximately, the most stable conformer is determined correctly in 103 cases out of 105. This result validates the use of COSMO-RS in a number of applications (distribution coefficients, vapor pressures, solubilities, etc.) where the most stable conformer of a molecule can be different in different phases and accounting for this difference is important for obtaining meaningful results.

Entities:  

Year:  2017        PMID: 28820591     DOI: 10.1021/acs.jpca.7b05197

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  1 in total

1.  Δ-Quantum machine-learning for medicinal chemistry.

Authors:  Kenneth Atz; Clemens Isert; Markus N A Böcker; José Jiménez-Luna; Gisbert Schneider
Journal:  Phys Chem Chem Phys       Date:  2022-05-11       Impact factor: 3.945

  1 in total

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