Di Meo Florent, Bayach Imene, Trouillas Patrick, Sancho-García Juan-Carlos
Division of Theoretical Chemistry, Department of Physics, Chemistry and Biology (IFM), Linköping University, SE-58183, Linköping, Sweden.
Laboratoire de Chimie des Substances Naturelles, Université de Limoges, 2 rue du Dr Marcland, F-87025, Limoges Cedex, France.
J Mol Model. 2015 Nov;21(11):291. doi: 10.1007/s00894-015-2838-3. Epub 2015 Oct 26.
Long-range non-covalent interactions play a key role in the chemistry of natural polyphenols. We have previously proposed a description of supramolecular polyphenol complexes by the B3P86 density functional coupled with some corrections for dispersion. We couple here the B3P86 functional with the D3 correction for dispersion, assessing systematically the accuracy of the new B3P86-D3 model using for that the well-known S66, HB23, NCCE31, and S12L datasets for non-covalent interactions. Furthermore, the association energies of these complexes were carefully compared to those obtained by other dispersion-corrected functionals, such as B(3)LYP-D3, BP86-D3 or B3P86-NL. Finally, this set of models were also applied to a database composed of seven non-covalent polyphenol complexes of the most interest. Graphical abstract Weakly bound natural polyphenolsᅟ.
长程非共价相互作用在天然多酚化学中起着关键作用。我们之前曾提出通过B3P86密度泛函结合一些色散校正来描述超分子多酚复合物。在此,我们将B3P86泛函与D3色散校正相结合,为此使用著名的非共价相互作用S66、HB23、NCCE31和S12L数据集系统地评估新的B3P86-D3模型的准确性。此外,还将这些复合物的结合能与通过其他色散校正泛函(如B(3)LYP-D3、BP86-D3或B3P86-NL)获得的结合能进行了仔细比较。最后,这组模型还应用于由七个最受关注的非共价多酚复合物组成的数据库。图形摘要 弱结合的天然多酚ᅟ。