锌
电荷(物理)
参数化复杂度
静电学
金属蛋白
原子电荷
偶极子
分子动力学
化学
部分电荷
锌指
化学物理
计算化学
金属
物理
统计物理学
生物系统
分子
算法
计算机科学
量子力学
物理化学
有机化学
生物化学
生物
转录因子
基因
作者
Luke Landry,Pengfei Li
标识
DOI:10.26434/chemrxiv-2023-71bbj
摘要
The fluctuating charge (FQ) model can generate atomic charges much more efficiently than quantum mechanical methods. The FQ model has been developed for a wide range of applications, but few models were specifically tailored for calculating atomic charges of metalloproteins. Zinc-containing proteins widely exist in biology and play important roles in various processes. In this study, we present a fluctuating charge model for zinc-containing metalloproteins based on the charge equilibration (Qeq) scheme. Our model was parameterized to reproduce CM5 charges, which demonstrated excellent performance in reproducing molecular dipole moments. During our study, we found that adding the Pauling-bond-order-like term (referred to as the "+C term" in a previous study) between the zinc ion and ligating atoms significantly improves the model's performance. Although our model was trained for four-coordinated zinc sites only, our tests indicated it can well describe the atomic charges in five- and six-coordinated zinc sites as well. Finally, we adapted our model to generate partial charges for the metal site in a zinc finger domain. These charges exhibited comparable performance to the widely used restrained electrostatic potential (RESP) charges in molecular dynamics (MD) simulations. The current model can be extended to other metal-containing systems and serve the molecular modeling community.
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