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New MP2 Database of Nucleic Acid Base Trimers: How Well Reproduce DFT Methods Structure and Binding Energies?

机译:新的MP2核酸基础三星数据库:繁殖DFT方法的结构和绑定能量如何?

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A new database of nucleic acid base trimers has been developed that includes 141 geometries and stabilization energies obtained at the RI-MP2 level of theory with the TZVPP basis set. Compared to other databases, this one includes considerably more complicated structures; the various intermolecular interactions in the trimers are quite heterogeneous and in particular include simultaneous hydrogen bonding and stacking interactions, which is similar to the situation in real biomolecules. Validation against these benchmark data is therefore a more demanding task for approximate models, since correct descriptions of all energy terms is unlikely to be accomplished by fortuitous cancellations of systematic errors. The density functionals TPSS (both with and without an empirical dispersion term), PWB6K, M05-2X, and BH&H, and the self-consistent charge density functional tight binding method augmented with an empirical dispersion term (SCC-DFTB-D) were assessed for their abilities to accurately compute structures and energies. The best reproduction of the BSSE corrected RI-MP2 stabilization energies was achieved by the TPSS functional (TZVPP basis set) combined with empirical dispersion; removal of the dispersion correction leads to significantly degraded performance. The M05-2X and PWB6K functionals performed very well in reproducing the RI-MP2 geometries, but showed a systematic moderate underestimation of the magnitude of base stacking interactions. The SCC-DFTB-D method predicts geometries in fair agreement with RI-MP2; given its computational efficiency it represents a good option for initial scanning of potential energy surfaces of biopolymers. BH&H gives geometries of comparable quality to the other functionals but significantly overestimates interaction energies other than stacking.
机译:已经开发了一种新的核酸基础三种组织数据库,其包括用TZVPP基础设定在RI-MP2理论水平上获得的141几何和稳定能量。与其他数据库相比,这一个包括更复杂的结构;三聚体中的各个分子间相互作用是非常异质的,特别是包括同时氢键和堆叠相互作用,其类似于真实生物分子中的情况。因此,对这些基准数据的验证是对近似模型的更苛刻的任务,因为所有能量术语对所有能量术语的正确描述不太可能通过偶然的系统误差取消来实现。评估密度官能团TPSS(既有经验分散术语),PWB6K,M05-2X和BH&H,以及用经验分散术语(SCC-DFTB-D)增强的自一致电荷密度官能紧密结合方法为了准确计算结构和能量的能力。通过与经验分散的TPSS功能(TZVPP基础组)实现BSSE校正的RI-MP2稳定能量的最佳再现;去除分散校正导致显着降低的性能。 M05-2X和PWB6K功能在再现RI-MP2几何形状时表现得非常良好,但显示系统中等低估基础堆叠相互作用的大小。 SCC-DFTB-D方法预测与RI-MP2公平协议的几何形状;鉴于其计算效率,它代表了初始扫描生物聚合物的潜在能量表面的良好选择。 BH&H为其他功能提供了可比性的几何形状,但显着高估了除堆叠以外的交互能量。

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