Center for Computational Quantum Chemistry, Department of Chemistry, University of Georgia, Athens, GA, 30602, USA.
Department of Chemistry, Texas A&M University, College Station, TX, 77843, USA.
ChemMedChem. 2018 Apr 23;13(8):835-841. doi: 10.1002/cmdc.201700721. Epub 2018 Mar 15.
Stacking interactions can be important enthalpic contributors to drug binding. Among the less well-studied stacking interactions are those occurring between an arene and the π-face of an amide group. Given the ubiquity of heterocycles in drugs, combined with the abundance of amides in the protein backbone, optimizing these noncovalent interactions can provide a potential route to enhanced drug binding. Previously, Diederich et al. (ChemMedChem 2013, 8, 397-404) studied stacked dimers of a model amide with a set of 18 heterocycles, showing that computed interaction energies correlate with the dipole moments of the heterocycles and providing guidelines for the optimization of these interactions. We considered stacked dimers of the same model amide with a larger set of 28 heterocycles common in pharmaceuticals, by using more robust ab initio methods. While the overall trends in these new data corroborate many of the results of Diederich et al., these data provide a more refined view of the nature of amide stacking interactions. We present a robust scoring function for amide stacking interaction energies based on the molecular dipole moment and strength of the electric field above the arene.
堆积相互作用可能是药物结合的重要焓贡献因素。在研究较少的堆积相互作用中,有芳环和酰胺基的π面之间的相互作用。鉴于杂环在药物中的普遍性,加上酰胺在蛋白质骨架中的丰富性,优化这些非共价相互作用可以为增强药物结合提供潜在途径。此前,Diederich 等人(ChemMedChem 2013, 8, 397-404)研究了一组 18 个杂环的模型酰胺的堆积二聚体,表明计算的相互作用能与杂环的偶极矩相关,并为优化这些相互作用提供了指导。我们考虑了具有更大一组 28 个常见于药物中的杂环的相同模型酰胺的堆积二聚体,使用了更可靠的从头算方法。虽然这些新数据中的总体趋势证实了 Diederich 等人的许多结果,但这些数据提供了对酰胺堆积相互作用本质的更精细的看法。我们提出了一种基于分子偶极矩和芳环上方电场强度的酰胺堆积相互作用能的稳健评分函数。