Institute of Organic Chemistry and Biochemistry, Academy of Sciences, 166 10 Prague, Czech Republic.
J Phys Chem B. 2009 Nov 5;113(44):14698-707. doi: 10.1021/jp9034198.
The structure of the alanine hydration shell was modeled by Carr-Parinello molecular dynamics (CPMD) to explain subtle differences in NMR chemical shifts and indirect spin-spin coupling constants of the neutral (zwitterionic), cationic, and anionic forms of this amino acid. In comparison with classical molecular dynamics (MD), the quantum mechanical CPMD approach revealed a more structured solvent and significant differences in the radial and angular distributions of the water molecules around the solute. In particular, the solvent was predicted to be organized around the uncharged COOH and NH(2) residues to a similar degree as that for the charged ones. This was not the case with MD. For snapshot CPMD configurations, the NMR parameters were computed by density functional theory (DFT) and averaged. Obtained values were significantly closer to experimental parameters known for (15)N and (13)C isotopically labeled alanine than those calculated by the conventional implicit dielectric solvent model. The NMR results also quantitatively reflect a superiority of the CPMD over the MD explicit solvent treatment. A further improvement of the computed spin-spin coupling constants could be achieved by taking into account vibrational averaging beyond the harmonic approximation. Differently positioned water molecules in the clusters cause an unexpectedly large scattering of the NMR parameters. About 10-15 dynamics snapshots were required for a satisfactory convergence of the shifts and couplings. The NMR chemical shift was found to be much more sensitive to the molecular hydration than the coupling. The results thus indicate a large potential of the NMR spectroscopy and quantum simulations to probe not only the structure of molecules but also their interactions with the environment.
采用 Car-Parrinello 分子动力学(CPMD)模拟丙氨酸水合壳结构,以解释该氨基酸中性(两性离子)、阳离子和阴离子形式的 NMR 化学位移和间接自旋-自旋耦合常数的细微差异。与经典分子动力学(MD)相比,量子力学 CPMD 方法揭示了溶剂具有更有序的结构,以及溶剂分子在溶质周围的径向和角度分布存在显著差异。特别是,溶剂被预测为围绕不带电的 COOH 和 NH2 残基形成类似于带电荷基团的有序结构。MD 则不然。对于快照 CPMD 构型,通过密度泛函理论(DFT)计算 NMR 参数并取平均值。得到的值与(15)N 和(13)C 同位素标记丙氨酸的实验参数更为接近,而与传统的隐式介电溶剂模型计算的参数相比则显著更接近。NMR 结果也定量反映了 CPMD 相对于 MD 显式溶剂处理的优越性。通过考虑超出简谐近似的振动平均,可以进一步提高计算的自旋-自旋耦合常数。在簇中处于不同位置的水分子导致 NMR 参数出现异常大的散射。大约需要 10-15 个动力学快照才能使位移和耦合达到令人满意的收敛。结果表明,NMR 光谱学和量子模拟具有很大的潜力,不仅可以探测分子的结构,还可以探测它们与环境的相互作用。