title: United polarizable multipole water model for molecular mechanics simulation.
abstract: We report the development of a united AMOEBA (uAMOEBA) polarizable water model, which is computationally 3-5 times more efficient than the three-site AMOEBA03 model in molecular dynamics simulations while providing comparable accuracy for gas-phase and liquid properties. In this coarse-grained polarizable water model, both electrostatic (permanent and induced) and van der Waals representations have been reduced to a single site located at the oxygen atom. The permanent charge distribution is described via the molecular dipole and quadrupole moments and the many-body polarization via an isotropic molecular polarizability, all located at the oxygen center. Similarly, a single van der Waals interaction site is used for each water molecule. Hydrogen atoms are retained only for the purpose of defining local frames for the molecular multipole moments and intramolecular vibrational modes. The parameters have been derived based on a combination of ab initio quantum mechanical and experimental data set containing gas-phase cluster structures and energies, and liquid thermodynamic properties. For validation, additional properties including dimer interaction energy, liquid structures, self-diffusion coefficient, and shear viscosity have been evaluated. The results demonstrate good transferability from the gas to the liquid phase over a wide range of temperatures, and from nonpolar to polar environments, due to the presence of molecular polarizability. The water coordination, hydrogen-bonding structure, and dynamic properties given by uAMOEBA are similar to those derived from the all-atom AMOEBA03 model and experiments. Thus, the current model is an accurate and efficient alternative for modeling water.
authors.affiliation: Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
authors.forename: Rui
authors.initials: R
authors.lastname: Qi
authors.affiliation: Department of Chemistry, Stanford University, Stanford, California 94305, USA.
authors.forename: Lee-Ping
authors.initials: LP
authors.lastname: Wang
authors.affiliation: Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
authors.forename: Qiantao
authors.initials: Q
authors.lastname: Wang
authors.affiliation: Department of Chemistry, Stanford University, Stanford, California 94305, USA.
authors.forename: Vijay S
authors.initials: VS
authors.lastname: Pande
authors.affiliation: Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78712, USA.
authors.forename: Pengyu
authors.initials: P
authors.lastname: Ren
mesh_terms: D006859:Hydrogen / Q000737:chemistry; D008958:Models, Molecular; D008968:Molecular Conformation; D015203:Reproducibility of Results; D014867:Water / Q000737:chemistry*
chemical_list: D014867:Water; D006859:Hydrogen