Mem3DG: Modeling Membrane Mechanochemical Dynamics in 3D using Discrete Differential Geometry
Cuncheng Zhu, Christopher T. Lee, Padmini Rangamani

TL;DR
Mem3DG is a flexible, geometry-based computational framework that models 3D membrane shape changes driven by mechanochemical factors, unifying smooth and discrete geometric theories for accurate simulations.
Contribution
We introduce Mem3DG, a novel discrete differential geometry-based framework that resolves geometric ambiguities and unifies smooth and discrete membrane energy and force calculations.
Findings
Successfully modeled classical membrane shapes like biconcave and unduloid forms.
Simulated spherical bud formation on various membrane geometries.
Analyzed effects of membrane mechanics and protein mobility on shape transformations.
Abstract
Biomembranes adopt varying morphologies that are vital to cellular functions. Many studies use computational modeling to understand how various mechanochemical factors contribute to membrane shape transformations. Compared to approximation-based methods (e.g., finite element method), the class of discrete mesh models offers greater flexibility to simulate complex physics and shapes in three dimensions; its formulation produces an efficient algorithm while maintaining coordinate-free geometric descriptions. However, ambiguities in geometric definitions in the discrete context have led to a lack of consensus on which discrete mesh model is theoretically and numerically optimal; a bijective relationship between the terms contributing to both the energy and forces from the discrete and smooth geometric theories remains to be established. We address this and present an extensible framework,…
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Taxonomy
TopicsHermeneutics and Narrative Identity · Aging, Elder Care, and Social Issues · Health, Medicine and Society
