McNamara Jonathan P, Hillier Ian H
School of Chemistry, University of Manchester, Oxford Road, Manchester, UK.
Phys Chem Chem Phys. 2007 May 21;9(19):2362-70. doi: 10.1039/b701890h. Epub 2007 Mar 22.
Semi-empirical calculations including an empirical dispersive correction are used to calculate intermolecular interaction energies and structures for a large database containing 156 biologically relevant molecules (hydrogen-bonded DNA base pairs, interstrand base pairs, stacked base pairs and amino acid base pairs) for which MP2 and CCSD(T) complete basis set (CBS) limit estimates of the interaction energies are available. The dispersion corrected semi-empirical methods are parameterised against a small training set of 22 complexes having a range of biologically important non-covalent interactions. For the full molecule set (156 complexes), compared to the high-level ab initio database, the mean unsigned errors of the interaction energies at the corrected semi-empirical level are 1.1 (AM1-D) and 1.2 (PM3-D) kcal mol(-1), being a significant improvement over existing AM1 and PM3 methods (8.6 and 8.2 kcal mol(-1)). Importantly, the new semi-empirical methods are capable of describing the diverse range of biological interactions, most notably stacking interactions, which are poorly described by both current AM1 and PM3 methods and by many DFT functionals. The new methods require no more computer time than existing semi-empirical methods and therefore represent an important advance in the study of important biological interactions.
包括经验色散校正的半经验计算被用于计算一个包含156个生物相关分子(氢键连接的DNA碱基对、链间碱基对、堆积碱基对和氨基酸碱基对)的大数据库的分子间相互作用能和结构,对于这些分子,有MP2和CCSD(T)完整基组(CBS)极限的相互作用能估计值。色散校正的半经验方法是根据一组包含22个具有一系列重要生物非共价相互作用的复合物的小训练集进行参数化的。对于整个分子集(156个复合物),与高水平的从头算数据库相比,校正后的半经验水平下相互作用能的平均绝对误差分别为1.1(AM1-D)和1.2(PM3-D)kcal mol⁻¹,这比现有的AM1和PM3方法(8.6和8.2 kcal mol⁻¹)有显著改进。重要的是,新的半经验方法能够描述多种生物相互作用,最显著的是堆积相互作用,而目前的AM1和PM3方法以及许多DFT泛函对其描述都很差。新方法所需的计算时间并不比现有的半经验方法多,因此在重要生物相互作用的研究中代表了一项重要进展。