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阳离子-π相互作用:芳香盒基序的计算分析及用于实验评估的氟化策略

Cation-π interactions: computational analyses of the aromatic box motif and the fluorination strategy for experimental evaluation.

作者信息

Davis Matthew R, Dougherty Dennis A

机构信息

Division of Chemistry and Chemical Engineering, California Institute of Technology, 1200 E California Blvd, Pasadena CA 91125, USA.

出版信息

Phys Chem Chem Phys. 2015 Nov 21;17(43):29262-70. doi: 10.1039/c5cp04668h.

Abstract

Cation-π interactions are common in biological systems, and many structural studies have revealed the aromatic box as a common motif. With the aim of understanding the nature of the aromatic box, several computational methods were evaluated for their ability to reproduce experimental cation-π binding energies. We find the DFT method M06 with the 6-31G(d,p) basis set performs best of several methods tested. The binding of benzene to a number of different cations (sodium, potassium, ammonium, tetramethylammonium, and guanidinium) was studied. In addition, the binding of the organic cations NH4(+) and NMe4(+) to ab initio generated aromatic boxes as well as examples of aromatic boxes from protein crystal structures were investigated. These data, along with a study of the distance dependence of the cation-π interaction, indicate that multiple aromatic residues can meaningfully contribute to cation binding, even with displacements of more than an angstrom from the optimal cation-π interaction. Progressive fluorination of benzene and indole was studied as well, and binding energies obtained were used to reaffirm the validity of the "fluorination strategy" to study cation-π interactions in vivo.

摘要

阳离子-π相互作用在生物系统中很常见,许多结构研究都揭示了芳香盒是一种常见基序。为了理解芳香盒的本质,对几种计算方法再现实验阳离子-π结合能的能力进行了评估。我们发现,在几种测试方法中,采用6-31G(d,p)基组的DFT方法M06表现最佳。研究了苯与多种不同阳离子(钠、钾、铵、四甲基铵和胍盐)的结合。此外,还研究了有机阳离子NH4(+)和NMe4(+)与从头算生成的芳香盒以及蛋白质晶体结构中的芳香盒实例的结合。这些数据,连同对阳离子-π相互作用距离依赖性的研究,表明即使与最佳阳离子-π相互作用有超过一埃的位移,多个芳香残基也能对阳离子结合有显著贡献。还研究了苯和吲哚的逐步氟化,所得结合能用于再次确认“氟化策略”在体内研究阳离子-π相互作用的有效性。

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