Suppr超能文献

大分子计算中分子内基组重叠误差的评估:[n]螺旋烯和苯丙氨酸-甘氨酸-苯丙氨酸三肽

Evaluation of the intramolecular basis set superposition error in the calculations of larger molecules: [n]helicenes and Phe-Gly-Phe tripeptide.

作者信息

Valdés Haydée, Klusák Vojtech, Pitonák Michal, Exner Otto, Starý Ivo, Hobza Pavel, Rulísek Lubomír

机构信息

Institute of Organic Chemistry and Biochemistry, Academy of Sciences of the Czech Republic, Gilead Sciences Research Center and IOCB and Center for Complex Molecular Systems and Biomolecules, Flemingovo námestí 2, 166 10 Praha 6, Czech Republic.

出版信息

J Comput Chem. 2008 Apr 30;29(6):861-70. doi: 10.1002/jcc.20841.

Abstract

Correlated ab initio calculations on large systems, such as the popular MP2 (or RI-MP2) method, suffer from the intramolecular basis set superposition error (BSSE). This error is typically manifested in molecules with folded structures, characterized by intramolecular dispersion interactions. It can dramatically affect the energy differences between various conformers as well as intramolecular stabilities, and it can even impair the accuracy of the predictions of the equilibrium molecular structures. In this study, we will present two extreme cases of intramolecular BSSE, the internal stability of [n]helicene molecules and the relative energies of various conformers of phenylalanyl-glycyl-phenylalanine tripeptide (Phe-Gly-Phe), and compare the calculated data with benchmark values (experimental or high-level theoretical data). As a practical and cheap solution to the accurate treatment of the systems with large anticipated value of intramolecular BSSE, the recently developed density functional method augmented with an empirical dispersion term (DFT-D) is proposed and shown to provide very good results in both of the above described representative cases.

摘要

对大型体系进行的相关从头算计算,比如流行的MP2(或RI-MP2)方法,会受到分子内基组重叠误差(BSSE)的影响。这种误差通常在具有折叠结构的分子中表现出来,其特征是分子内存在色散相互作用。它会显著影响各种构象异构体之间的能量差异以及分子内稳定性,甚至会损害平衡分子结构预测的准确性。在本研究中,我们将展示分子内BSSE的两种极端情况,即[n]螺旋烯分子的内部稳定性和苯丙氨酰-甘氨酰-苯丙氨酸三肽(Phe-Gly-Phe)各种构象异构体的相对能量,并将计算数据与基准值(实验数据或高水平理论数据)进行比较。作为准确处理具有较大预期分子内BSSE值的体系的一种实用且廉价的解决方案,我们提出了最近开发的带有经验色散项的密度泛函方法(DFT-D),并表明它在上述两种代表性情况下都能提供非常好的结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验