Differential geometry-based solvation and electrolyte transport models for biomolecular modeling: A review
Differential geometry-based solvation and electrolyte transport models for biomolecular modeling: A review
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用于生物分子建模的基于微分几何的溶剂化和电解质传输模型:综述
DOI:
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发表时间:
2014
期刊:
影响因子:
--
通讯作者:
Nathan A. Baker
中科院分区:
文献类型:
--
作者:
G. Wei;Nathan A. Baker
This chapter reviews the differential geometry-based solvation and electrolyte transport for biomolecular solvation that have been developed over the past decade. A key component of these methods is the differential geometry of surfaces theory, as applied to the solvent-solute boundary. In these approaches, the solvent-solute boundary is determined by a variational principle that determines the major physical observables of interest, for example, biomolecular surface area, enclosed volume, electrostatic potential, ion density, electron density, etc. Recently, differential geometry theory has been used to define the surfaces that separate the microscopic (solute) domains for biomolecules from the macroscopic (solvent) domains. In these approaches, the microscopic domains are modeled with atomistic or quantum mechanical descriptions, while continuum mechanics models (including fluid mechanics, elastic mechanics, and continuum electrostatics) are applied to the macroscopic domains. This multiphysics description is integrated through an energy functional formalism and the resulting Euler-Lagrange equation is employed to derive a variety of governing partial differential equations for different solvation and transport processes; e.g., the Laplace-Beltrami equation for the solvent-solute interface, Poisson or Poisson-Boltzmann equations for electrostatic potentials, the Nernst-Planck equation for ion densities, and the Kohn-Sham equation for solute electron density. Extensive validation of these models has been carried out over hundreds of molecules, including proteins and ion channels, and the experimental data have been compared in terms of solvation energies, voltage-current curves, and density distributions. We also propose a new quantum model for electrolyte transport.
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影响因子:
5.5
作者:
Cheng, Li-Tien;Xie, Yang;Dzubiella, Joachim;McCammon, J. Andrew;Che, Jianwei;Li, Bo
通讯作者:
Li, Bo
影响因子:
2.4
作者:
Wei GW
通讯作者:
Wei GW
影响因子:
3.4
作者:
Chen, Hanning;Wu, Yujie;Voth, Gregory A.
通讯作者:
Voth, Gregory A.
DOI:
10.1073/pnas.86.21.8382
发表时间:
1989-11
影响因子:
11.1
作者:
Ruth S. Spolar;J. Ha;Record Mt
通讯作者:
Ruth S. Spolar;J. Ha;Record Mt
DOI:
10.1063/1.4832900
发表时间:
2013
期刊:
The Journal of chemical physics
影响因子:
--
作者:
Daily,MichaelD;Chun,Jaehun;Heredia-Langner,Alejandro;Wei,Guowei;Baker,NathanA
通讯作者:
Baker,NathanA