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Contribution to Book
Multiscale Models for Nano-Bio Systems
Proceedings of CMBE: 2nd International Conference on Computational & Mathematical Biomedical Engineering (2011)
  • Guo-Wei Wei, Michigan State University
  • Zhan Chen, Georgia Southern University
Abstract
We propose a differential geometry based multiscale paradigm for the description and analysis of aqueous chemical, biological systems, such as protein complex, molecular motors, ion channels, and PEM fuel cells. Our multiscale paradigm provides a macroscopic continuum description of the fluid or solvent, a microscopic discrete description of the macromolecule, a differential geometric formulation of the micro-macro interface, and a mixed micro-macro description of the electrostatic interaction. In the proposed framework, we have derived four types of governing equations for different parts of complex systems: fluid dynamics, molecular dynamics, electrostatic interactions, and surface dynamics. These four types of governing equations are generalized Navier–Stokes equations, Newton’s equations, generalized Poisson or Poisson–Boltzmann equations, and hypersurface evolution equations. For systems far from equilibrium, coupled geometric evolution equations, generalized Navier–Stokes equations, Newton’s equations, and Poisson–Nernst–Planck (PNP) equations are formulated. For excessively large chemical and biological systems, we replace the expensive molecular dynamics with a macroscopic elastic description and develop alternative differential geometry based fluid-electroelastic models.
Keywords
  • Differential geometry based multiscale modeling,
  • Ion channels,
  • Proteins,
  • Solvation analysis,
  • Molecular dynamics
Disciplines
Publication Date
March 30, 2011
Editor
Perumal Nithiarasu, Rainald Löhner, Raoul van Loon, Igor Sazonov, and Xianghua Xie
Publisher
All American Printing, Inc.
ISBN
978-0-9562914-1-7
Citation Information
Guo-Wei Wei and Zhan Chen. "Multiscale Models for Nano-Bio Systems" Proceedings of CMBE: 2nd International Conference on Computational & Mathematical Biomedical Engineering (1st Edition ed). Ed. Perumal Nithiarasu, Rainald Lohner, Raoul van Loon, Igor Sazonov and Xianghua Xie. Alexandria, VA: All American Printing, Inc., 2011. 19-22.
isbn:9780956291417