Toward the cellular-scale simulation of motor-driven cytoskeletal assemblies

被引:10
|
作者
Yan, Wen [1 ]
Ansari, Saad [2 ]
Lamson, Adam [1 ,2 ]
Glaser, Matthew A. [2 ]
Blackwell, Robert [1 ]
Betterton, Meredith D. [1 ,2 ,3 ]
Shelley, Michael [1 ,4 ]
机构
[1] Flatiron Inst, Ctr Computat Biol, New York, NY 10010 USA
[2] Univ Colorado Boulder, Dept Phys, Boulder, CO USA
[3] Univ Colorado Boulder, Dept Mol Cellular & Dev Biol, Boulder, CO USA
[4] New York Univ, Courant Inst, New York, NY 10012 USA
来源
ELIFE | 2022年 / 11卷
基金
美国国家科学基金会;
关键词
constrained optimization; motor protein; microtubule; parallel computing; None; DYNAMICS; MICROTUBULES; ORGANIZATION; ADHESION;
D O I
10.7554/eLife.74160
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The cytoskeleton - a collection of polymeric filaments, molecular motors, and cross-linkers - is a foundational example of active matter, and in the cell assembles into organelles that guide basic biological functions. Simulation of cytoskeletal assemblies is an important tool for modeling cellular processes and understanding their surprising material properties. Here, we present aLENS (a Living Ensemble Simulator), a novel computational framework designed to surmount the limits of conventional simulation methods. We model molecular motors with crosslinking kinetics that adhere to a thermodynamic energy landscape, and integrate the system dynamics while efficiently and stably enforcing hard-body repulsion between filaments. Molecular potentials are entirely avoided in imposing steric constraints. Utilizing parallel computing, we simulate tens to hundreds of thousands of cytoskeletal filaments and crosslinking motors, recapitulating emergent phenomena such as bundle formation and buckling. This simulation framework can help elucidate how motor type, thermal fluctuations, internal stresses, and confinement determine the evolution of cytoskeletal active matter.
引用
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页数:51
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