ArticleBulletin of mathematical biology2010
Differential geometry based multiscale models.
Article in Bulletin of mathematical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- Multiscale Differential Geometry Learning for Protein Flexibility Analysis.Journal of computational chemistry · 2025Article
- Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data.Computers in biology and medicine · 2024Article
- Calculation of electrostatic free energy for the nonlinear Poisson-Boltzmann model based on the dimensionless potential.Journal of computational physics · 2024Article
- Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2.Chemical reviews · 2022Review
- Geometric algebra generation of molecular surfaces.Journal of the Royal Society, Interface · 2022Article
- EVOLUTIONARY DE RHAM-HODGE METHOD.Discrete and continuous dynamical systems. Series B · 2021Article
- Competition between Cations via Classical Poisson-Nernst-Planck Models with Nonzero but Small Permanent Charges.Membranes · 2021Article
- A Computational Model of Protein Induced Membrane Morphology with Geodesic Curvature Driven Protein-Membrane Interface.Journal of computational physics · 2020Article
- A review of mathematical representations of biomolecular data.Physical chemistry chemical physics : PCCP · 2020Review
- MathDL: mathematical deep learning for D3R Grand Challenge 4.Journal of computer-aided molecular design · 2020Article
- DG-GL: Differential geometry-based geometric learning of molecular datasets.International journal for numerical methods in biomedical engineering · 2019Article
- Generative network complex (GNC) for drug discovery.Communications in information and systems · 2019Article
- Divide-and-conquer strategy for large-scale Eulerian solvent excluded surface.Communications in information and systems · 2018Article
- Fast Simulation of Lipid Vesicle Deformation Using Spherical Harmonic Approximation.Communications in computational physics · 2017Article
- Multiscale method for modeling binding phenomena involving large objects: application to kinesin motor domains motion along microtubules.Scientific reports · 2016Article
- Object-oriented Persistent Homology.Journal of computational physics · 2016Article
- Parameter optimization in differential geometry based solvation models.The Journal of chemical physics · 2015Article
- Matched Interface and Boundary Method for Elasticity Interface Problems.Journal of computational and applied mathematics · 2015Article
- Second order Method for Solving 3D Elasticity Equations with Complex Interfaces.Journal of computational physics · 2015Article
- Multidimensional persistence in biomolecular data.Journal of computational chemistry · 2015Article
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Abstract
Large chemical and biological systems such as fuel cells, ion channels, molecular motors, and viruses are of great importance to the scientific community and public health. Typically, these complex systems in conjunction with their aquatic environment pose a fabulous challenge to theoretical description, simulation, and prediction. In this work, we propose a differential geometry based multiscale paradigm to model complex macromolecular systems, and to put macroscopic and microscopic descriptions on an equal footing. In our approach, the differential geometry theory of surfaces and geometric measure theory are employed as a natural means to couple the macroscopic continuum mechanical description of the aquatic environment with the microscopic discrete atomistic description of the macromolecule. Multiscale free energy functionals, or multiscale action functionals are constructed as a unified framework to derive the governing equations for the dynamics of different scales and different descriptions. Two types of aqueous macromolecular complexes, ones that are near equilibrium and others that are far from equilibrium, are considered in our formulations. We show that generalized Navier-Stokes equations for the fluid dynamics, generalized Poisson equations or generalized Poisson-Boltzmann equations for electrostatic interactions, and Newton's equation for the molecular dynamics can be derived by the least action principle. These equations are coupled through the continuum-discrete interface whose dynamics is governed by potential driven geometric flows. Comparison is given to classical descriptions of the fluid and electrostatic interactions without geometric flow based micro-macro interfaces. The detailed balance of forces is emphasized in the present work. We further extend the proposed multiscale paradigm to micro-macro analysis of electrohydrodynamics, electrophoresis, fuel cells, and ion channels. We derive generalized Poisson-Nernst-Planck equations that are coupled to generalized Navier-Stokes equations for fluid dynamics, Newton's equation for molecular dynamics, and potential and surface driving geometric flows for the micro-macro interface. For excessively large aqueous macromolecular complexes in chemistry and biology, we further develop differential geometry based multiscale fluid-electro-elastic models to replace the expensive molecular dynamics description with an alternative elasticity formulation.
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