TY - JOUR
T1 - Multiscale polarizable coarse-graining water models on cluster-level electrostatic dipoles
AU - Li, Min
AU - Zhang, John Zeng Hui
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (Grant no. 21803034 and Grant no. 11847223), the China Postdoctoral Science Foundation (Grant no. 2018M630746), and the Natural Science Foundation of Shandong Province (Grant no. ZR2019BB013). We thank the Michigan State University High Performance Computation Center and the theoretical and computational materials group of Qingdao University for providing computer time.
Publisher Copyright:
© the Owner Societies 2021.
PY - 2021/4/14
Y1 - 2021/4/14
N2 - The development of a coarse-grained (CG) water model is increasingly important in CG studies of biological processes. In this work, we developed a generic CG force field of liquid water on cluster-level electrostatic dipoles. An exponential term is introduced in the non-bonded potential to adjust the well depth. The whole force field is parametrized on the AMOEBA simulation and then refined on the experimental density, dielectric permittivity and isothermal compressibility. The new CG water force field is suitable for the construction of multi-resolution water models and here theNC= 4/5/10 systems are taken as examples. The results show that theNC= 4/5/10 models can correctly reproduce the density and relative dielectric permittivity. The models can well predict the pressure-density/density-temperature relationships close to the all-atom or experiment results. However, the new models behave differently from other CG models in several water properties such as the air-water surface tension. Through dipole distributions, two representative polarizable configurations are captured after theNC= 4/5/10 systems are dynamically equilibrated. Besides, theNC= 4 model is coupled with the Martini Na+/Cl-models to predict ion-relevant radial distribution functions in comparison to the Martini result. Lastly, CPU tests suggest that the new CG models can enhance simulation efficiency by factors of 20-42, compared to the TIP3P force field. The newly proposed polarizable water force field is practical and transferable and can be flexibly extended to higher coarse-graining of liquid water.
AB - The development of a coarse-grained (CG) water model is increasingly important in CG studies of biological processes. In this work, we developed a generic CG force field of liquid water on cluster-level electrostatic dipoles. An exponential term is introduced in the non-bonded potential to adjust the well depth. The whole force field is parametrized on the AMOEBA simulation and then refined on the experimental density, dielectric permittivity and isothermal compressibility. The new CG water force field is suitable for the construction of multi-resolution water models and here theNC= 4/5/10 systems are taken as examples. The results show that theNC= 4/5/10 models can correctly reproduce the density and relative dielectric permittivity. The models can well predict the pressure-density/density-temperature relationships close to the all-atom or experiment results. However, the new models behave differently from other CG models in several water properties such as the air-water surface tension. Through dipole distributions, two representative polarizable configurations are captured after theNC= 4/5/10 systems are dynamically equilibrated. Besides, theNC= 4 model is coupled with the Martini Na+/Cl-models to predict ion-relevant radial distribution functions in comparison to the Martini result. Lastly, CPU tests suggest that the new CG models can enhance simulation efficiency by factors of 20-42, compared to the TIP3P force field. The newly proposed polarizable water force field is practical and transferable and can be flexibly extended to higher coarse-graining of liquid water.
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U2 - 10.1039/d1cp00338k
DO - 10.1039/d1cp00338k
M3 - Article
C2 - 33876052
AN - SCOPUS:85104238549
SN - 1463-9076
VL - 23
SP - 8926
EP - 8935
JO - Physical Chemistry Chemical Physics
JF - Physical Chemistry Chemical Physics
IS - 14
ER -