Literature DB >> 29125701

Data-driven reduced-order model of microtubule mechanics.

Yan Feng1, Sorin Mitran1.   

Abstract

A beam element is constructed for microtubules based upon data reduction of the results from atomistic simulation of the carbon backbone chain of αβ-tubulin dimers. The database of mechanical responses to various types of loads from atomistic simulation is reduced to dominant modes. The dominant modes are subsequently used to construct the stiffness matrix of a beam element that captures the anisotropic behavior and deformation mode coupling that arises from a microtubule's spiral structure. In contrast to standard Euler-Bernoulli or Timoshenko beam elements, the link between forces and node displacements results not from hypothesized deformation behavior, but directly from the data obtained by molecular scale simulation. Differences between the resulting microtubule data-driven beam model (MTDDBM) and standard beam elements are presented, with a focus on coupling of bending, stretch, shear deformations. The MTDDBM is just as economical to use as a standard beam element, and allows accurate reconstruction of the mechanical behavior of structures within a cell as exemplified in a simple model of a component element of the mitotic spindle.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  cell mechanics; microtubule; tubulin

Mesh:

Year:  2017        PMID: 29125701     DOI: 10.1002/cm.21419

Source DB:  PubMed          Journal:  Cytoskeleton (Hoboken)        ISSN: 1949-3592


  3 in total

Review 1.  From isolated structures to continuous networks: A categorization of cytoskeleton-based motile engineered biological microstructures.

Authors:  Rachel Andorfer; Joshua D Alper
Journal:  Wiley Interdiscip Rev Nanomed Nanobiotechnol       Date:  2019-02-11

2.  The mitotic spindle is chiral due to torques within microtubule bundles.

Authors:  Maja Novak; Bruno Polak; Juraj Simunić; Zvonimir Boban; Barbara Kuzmić; Andreas W Thomae; Iva M Tolić; Nenad Pavin
Journal:  Nat Commun       Date:  2018-09-03       Impact factor: 14.919

3.  Data-driven prediction in dynamical systems: recent developments.

Authors:  Amin Ghadami; Bogdan I Epureanu
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2022-06-20       Impact factor: 4.019

  3 in total

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