Li Pengfei
Department of Chemistry and Biochemistry, Loyola University Chicago, Chicago, IL, United States.
Front Chem. 2021 Jul 22;9:721960. doi: 10.3389/fchem.2021.721960. eCollection 2021.
Metal ions play important roles in various biological systems. Molecular dynamics (MD) using classical force field has become a popular research tool to study biological systems at the atomic level. However, meaningful MD simulations require reliable models and parameters. Previously we showed that the 12-6 Lennard-Jones nonbonded model for ions could not reproduce the experimental hydration free energy (HFE) and ion-oxygen distance (IOD) values simultaneously when ion has a charge of +2 or higher. We discussed that this deficiency arises from the overlook of the ion-induced dipole interaction in the 12-6 model, and this term is proportional to 1/ based on theory. Hence, we developed the 12-6-4 model and showed it could solve this deficiency in a physically meaningful way. However, our previous research also found that the 12-6-4 model overestimated the coordination numbers (CNs) for some highly charged metal ions. And we attributed this artifact to that the current 12-6-4 scheme lacks a correction for the interactions among the first solvation shell water molecules. In the present study, we considered the ion-included dipole interaction by using the 12-6 model with adjusting the atomic charges of the first solvation shell water molecules. This strategy not only considers the ion-induced dipole interaction between ion and the first solvation shell water molecules but also well accounts for the increased repulsion among these water molecules compared to the bulk water molecules. We showed this strategy could well reproduce the experimental HFE and IOD values for Mg, Zn, Al, Fe, and In and solve the CN overestimation issue of the 12-6-4 model for Fe and In. Moreover, our simulation results showed good agreement with previous MD simulations. In addition, we derived the physical relationship between the parameter and induced dipole moment, which agreed well with our simulation results. Finally, we discussed the implications of the present work for simulating metalloproteins. Due to the fluctuating charge model uses a similar concept to the 12-6 model with adjusting atomic charges, we believe the present study builds a bridge between the 12-6-4 model and the fluctuating charge model.
金属离子在各种生物系统中发挥着重要作用。使用经典力场的分子动力学(MD)已成为在原子水平上研究生物系统的一种流行研究工具。然而,有意义的MD模拟需要可靠的模型和参数。此前我们表明,当离子电荷为 +2 或更高时,离子的 12 - 6 Lennard - Jones 非键模型无法同时重现实验水化自由能(HFE)和离子 - 氧距离(IOD)值。我们讨论了这种缺陷源于 12 - 6 模型中对离子诱导偶极相互作用的忽视,并且根据理论该相互作用项与 1 / 成正比。因此,我们开发了 12 - 6 - 4 模型,并表明它可以以物理上有意义的方式解决这一缺陷。然而,我们之前的研究还发现,12 - 6 - 4 模型高估了一些高电荷金属离子的配位数(CNs)。并且我们将此假象归因于当前的 12 - 6 - 4 方案缺乏对第一溶剂化层水分子之间相互作用的校正。在本研究中,我们通过调整第一溶剂化层水分子的原子电荷,使用 12 - 6 模型来考虑包含离子的偶极相互作用。这种策略不仅考虑了离子与第一溶剂化层水分子之间的离子诱导偶极相互作用,而且很好地解释了与 bulk 水分子相比这些水分子之间增加的排斥力。我们表明这种策略可以很好地重现 Mg、Zn、Al、Fe 和 In 的实验 HFE 和 IOD 值,并解决 12 - 6 - 4 模型对 Fe 和 In 的 CN 高估问题。此外,我们的模拟结果与之前的 MD 模拟结果显示出良好的一致性。另外,我们推导了参数与诱导偶极矩之间的物理关系,这与我们的模拟结果吻合良好。最后,我们讨论了本工作对模拟金属蛋白的意义。由于波动电荷模型使用了与通过调整原子电荷的 12 - 6 模型类似的概念,我们相信本研究在 12 - 6 - 4 模型和波动电荷模型之间架起了一座桥梁。