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结合纳秒级模拟和量子计算预测溶液中的氮氧化物超精细耦合常数。

Prediction of nitroxide hyperfine coupling constants in solution from combined nanosecond scale simulations and quantum computations.

作者信息

Houriez Céline, Ferré Nicolas, Masella Michel, Siri Didier

机构信息

UMR 6264 Laboratoire Chimie Provence, Equipe Chimie Theorique, Faculte des Sciences de Saint-Jerôme Case 521, Avenue Escadrille Normandie-Niemen, 13397 Marseille Cedex 20, France.

出版信息

J Chem Phys. 2008 Jun 28;128(24):244504. doi: 10.1063/1.2939121.

Abstract

We present a combined theoretical approach based on analyzing molecular dynamics trajectories (at the nanosecond scale) generated by use of classical polarizable force fields and on quantum calculations to compute averaged hyperfine coupling constants. That method is used to estimate the constant of a prototypical nitroxide: the dimethylnitroxide. The molecule is embedded during the simulations in a cubic box containing about 500 water molecules and the molecular dynamics is generated using periodic conditions. Once the trajectories are achieved, the nitroxide and its first hydration shell molecules are extracted, and the coupling constants are computed by considering the latter aggregates by means of quantum computations. However, all the water molecules of the bulk are also accounted for during those computations by means of the electrostatic potential fitted method. Our results exhibit that in order to predict accurate and reliable coupling constants, one needs to describe carefully the out-of-plane motion of the nitroxide nitrogen and to sample trajectories with a time interval of 400 fs at least to generate an uncorrelated large set of nitroxide structures. Compared to Car-Parrinello molecular dynamics techniques, our approach can be used readily to compute hyperfine coupling constants of large systems, such as nitroxides of great size interacting with macromolecules such as proteins or polymers.

摘要

我们提出了一种综合理论方法,该方法基于分析使用经典可极化力场生成的(纳秒尺度的)分子动力学轨迹,并基于量子计算来计算平均超精细耦合常数。该方法用于估计一种典型氮氧化物——二甲基氮氧化物的常数。在模拟过程中,该分子被嵌入到一个包含约500个水分子的立方盒中,并使用周期性条件生成分子动力学。一旦获得轨迹,就提取氮氧化物及其第一水合层分子,并通过量子计算考虑后者的聚集体来计算耦合常数。然而,在这些计算过程中,通过静电势拟合方法也考虑了本体中的所有水分子。我们的结果表明,为了预测准确可靠的耦合常数,需要仔细描述氮氧化物氮的面外运动,并且至少以400飞秒的时间间隔对轨迹进行采样,以生成一组不相关的大量氮氧化物结构。与Car-Parrinello分子动力学技术相比,我们的方法可以很容易地用于计算大型系统的超精细耦合常数,例如与蛋白质或聚合物等大分子相互作用的大尺寸氮氧化物。

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