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首页> 外文期刊>The journal of physical chemistry, B. Condensed matter, materials, surfaces, interfaces & biophysical >Explicit Aqueous Solvation Treatment of Epinephrine from Car-Parrinello Molecular Dynamics: Effect of Hydrogen Bonding on the Electronic Absorption Spectrum
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Explicit Aqueous Solvation Treatment of Epinephrine from Car-Parrinello Molecular Dynamics: Effect of Hydrogen Bonding on the Electronic Absorption Spectrum

机译:从轿车分子动力学中显式水性溶剂处理肾上腺素:氢键对电子吸收光谱的影响

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摘要

The electronic absorption spectrum of the neurotransmitter epinephrine (EPN) in water solution is studied, combining ab initio Car-Parrinello molecular dynamics (CPMD) with a quantum mechanical approach within the framework of the time-dependent density functional theory (TDDFT) scheme. By selecting 52 uncorrelated snapshots, the excitation modes were calculated at the LC-omega PBE/6-31+G(d) level of theory, using an optimal range-separation parameter omega, determined by means of the gaptuning scheme in the presence of the solvent molecules. By comparing with static approaches (vacuum and implicit solvation), we show here that explicit solvation treatment dramatically enhances the photophysical properties of the EPN, especially because of the more realistic dynamic description of the molecular geometry. The agreement between the simulated and experimental spectra is demonstrated when TDDFT calculations are performed with the optimally tuned version of the DFT hybrid, not only improving the relative intensities of the absorption bands but also the lambda(max) position. These results highlight that accounting for the nuclear motions, that is, thermal effects (of both chromophore and solvent molecules), is imperative to predict experimental absorption spectra. In this paper, we have addressed the critical importance of explicit solvation effects on the photophysics of the EPN, raking in performance when the simulation is performed based on first-principles molecular dynamics such as CPMD.
机译:研究了水溶液中神经递质肾上腺素(EPN)的电子吸收光谱,将AB Initio Car-Parrinello分子动力学(CPMD)与量子机械方法组合在时间依赖性密度泛函理论(TDDFT)方案的框架内。通过选择52个不相关的快照,使用最佳范围分离参数Omega,在理论的LC-Omega PBE / 6-31 + G(D)水平上计算激励模式,通过在存在的情况下通过Gaptuning方案确定溶剂分子。通过与静态方法(真空和隐式溶剂)进行比较,我们在此显示出明确的溶剂化处理显着增强了EPN的光物理性质,尤其是因为分子几何形状更现实的动态描述。当利用DFT混合的最佳调谐版本进行TDDFT计算时,对模拟和实验光谱之间的协议不仅提高了吸收带的相对强度,而且还证明了λ(最大)位置。这些结果突出了核动作,即热效应(发色团和溶剂分子)的核算,这是预测实验吸收光谱的必要性。在本文中,我们已经解决了显式溶剂化效应对EPN的光物理学的关键重要性,在基于诸如CPMD的第一原理进行仿真时进行性能耙。

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