Suppr超能文献

微溶剂化对两性离子甘氨酸的影响:从头算和密度泛函理论研究

Effect of microsolvation on zwitterionic glycine: an ab initio and density functional theory study.

作者信息

Sahu Prabhat K, Lee Shyi-Long

机构信息

Department of Chemistry and Biochemistry, National Chung Cheng University, Chia-Yi 621, Taiwan.

出版信息

J Mol Model. 2008 May;14(5):385-92. doi: 10.1007/s00894-008-0282-3. Epub 2008 Mar 11.

Abstract

The effect of microsolvation on zwitterionic glycine, considering both (-NH3(+)) as proton donor and (-COO(-)) as proton acceptor at correlated ab initio (MP2) level and density functional methods (B3LYP, PW91, MPW1PW91 and PBE) using 6-311++G** basis set has been reported. DFT methods have been employed so as to compare the performance/quality of different gradient-corrected correlation functionals (PW91, PBE), hybrid functionals (B3LYP, MPW1PW91) and to predict the near quantitative structural and vibrational properties, at reduced computational cost. B3LYP method outperforms among the different DFT methods for the computed hydrogen bond distances and found closer to the value obtained by correlated MP2 level, whereas MPW1PW91 and PBE methods shows very similar values but approximately 0.03 A less, compared to B3LYP method. MP2 calculation and single point CCSD(T)//MP2 calculation have been considered to decompose the interaction energy, including corrections for basis set superposition error (BSSE). Moreover, charge distribution analysis has also been carried out to understand the long raised questions, how and why the two body energies have significant contribution to the total binding energy.

摘要

在相关的从头算(MP2)水平以及使用6-311++G**基组的密度泛函方法(B3LYP、PW91、MPW1PW91和PBE)下,考虑两性离子甘氨酸中(-NH3(+))作为质子供体和(-COO(-))作为质子受体时微溶剂化的影响已被报道。采用密度泛函理论方法是为了比较不同的梯度校正相关泛函(PW91、PBE)、杂化泛函(B3LYP、MPW1PW91)的性能/质量,并以降低的计算成本预测接近定量的结构和振动性质。对于计算得到的氢键距离,B3LYP方法在不同的密度泛函理论方法中表现最佳,并且发现其结果更接近通过相关MP2水平获得的值,而MPW1PW91和PBE方法显示出非常相似的值,但与B3LYP方法相比大约小0.03 Å。已考虑进行MP2计算和单点CCSD(T)//MP2计算以分解相互作用能,包括对基组叠加误差(BSSE)的校正。此外,还进行了电荷分布分析,以理解长期存在的问题,即两体能量如何以及为何对总结合能有显著贡献。

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