Wu Pan, Chaudret Robin, Hu Xiangqian, Yang Weitao
Department of Chemistry, Duke University, Durham, NC 27708.
J Chem Theory Comput. 2013 May 14;9(5):2226-2234. doi: 10.1021/ct4001087.
Noncovalent interactions play a central role in many chemical and biological systems. In a previous study, Johnson developed a NonCovalent Interaction (NCI) index to characterize and visualize different types of weak interactions. To apply the NCI analysis to fluctuating environments as in solution phase, we here develop a new Averaged NonCovalent Interaction (i.e., aNCI) index along with a fluctuation index to characterize magnitude of interactions and fluctuations. We applied aNCI for various systems including solute-solvent and ligand-protein noncovalent interactions. For water and benzene molecules in aqueous solution, solvation structures and the specific hydrogen bond patterns were visualized clearly. For the Cl+CHCl S2 reaction in aqueous solution, charge reorganization influences over solvation structure along S2 reaction were revealed. For ligand-protein systems, aNCI can recover several key fluctuating hydrogen bond patterns that have potential applications for drug design. Therefore, aNCI, as a complementary approach to the original NCI method, can extract and visualize noncovalent interactions from thermal noise in fluctuating environments.
非共价相互作用在许多化学和生物系统中起着核心作用。在之前的一项研究中,约翰逊开发了一种非共价相互作用(NCI)指数,用于表征和可视化不同类型的弱相互作用。为了将NCI分析应用于溶液相中的波动环境,我们在此开发了一种新的平均非共价相互作用(即aNCI)指数以及一个波动指数,以表征相互作用和波动的大小。我们将aNCI应用于各种系统,包括溶质-溶剂和配体-蛋白质非共价相互作用。对于水溶液中的水和苯分子,溶剂化结构和特定的氢键模式清晰可见。对于水溶液中的Cl+CHCl S2反应,揭示了沿S2反应的电荷重组对溶剂化结构的影响。对于配体-蛋白质系统,aNCI可以恢复几种关键的波动氢键模式,这些模式在药物设计中具有潜在应用。因此,aNCI作为原始NCI方法的一种补充方法,可以从波动环境中的热噪声中提取和可视化非共价相互作用。