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环糊精-药物包合物的络合能评估

Evaluation of Complexation Energies for Cyclodextrin-Drug Inclusion Complexes.

作者信息

Oqmhula Kenji, Hongo Kenta, Maezono Ryo, Ichibha Tom

机构信息

School of Materials Science, JAIST, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan.

Research Center for Advanced Computing Infrastructure, JAIST, 1-1 Asahidai, Nomi, Ishikawa 923-1292, Japan.

出版信息

ACS Omega. 2020 Jul 28;5(31):19371-19376. doi: 10.1021/acsomega.0c01059. eCollection 2020 Aug 11.

Abstract

We investigated the reliability of methods to predict the binding energies of molecular encapsulation complexes. Vast possibilities for the docking conformations were screened down to a couple of geometries using a semiempirical docking simulation. For the candidates, we applied density functional theory (DFT) with several exchange-correlation (XC) functionals to evaluate the binding energy. We carefully selected and compared the functionals to elucidate the role of the characteristic factors in achieving the XC effects. It is clarified that the improper combination in XC with D3 dispersion force correction leads to overbinding. For achieving a proper combination, the exchange interaction over the longer range to avoid the overbinding was found to be important.

摘要

我们研究了预测分子包封复合物结合能方法的可靠性。使用半经验对接模拟,将对接构象的大量可能性筛选至几种几何结构。对于候选物,我们应用密度泛函理论(DFT)和几种交换关联(XC)泛函来评估结合能。我们仔细选择并比较了这些泛函,以阐明特征因素在实现XC效应中的作用。结果表明,XC与D3色散力校正的不当组合会导致过度结合。为了实现适当的组合,发现长程的交换相互作用以避免过度结合很重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dff/7424588/7bfc78ac38ec/ao0c01059_0001.jpg

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