期刊
PHYSICAL BIOLOGY
卷 16, 期 4, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1478-3975/ab0fb1
关键词
active networks; self-organisation; miicrotubules; molecular motors; computer simulations; Cytosim
资金
- Francis Crick Institute - Cancer Research UK [FC001163]
- UK Medical Research Council [FC001163]
- Wellcome Trust [FC001163]
- Centre for Modelling in the Biosciences
- EMBL
- European Research Council [323042]
- European Research Council (ERC) [323042] Funding Source: European Research Council (ERC)
Active networks composed of filaments and motor proteins can self-organize into a variety of architectures. Computer simulations in two or three spatial dimensions and including or omitting steric interactions between filaments can be used to model active networks. Here we examine how these modelling choices affect the state space of network self-organization. We compare the networks generated by different models of a system of dynamic microtubules and microtubule-crosslinking motors. We find that a thin 3D model that includes steric interactions between filaments is the most versatile, capturing a variety of network states observed in recent experiments. In contrast, 2D models either with or without steric interactions which prohibit microtubule crossings can produce some, but not all, observed network states. Our results provide guidelines for the most appropriate choice of model for the study of different network types and elucidate mechanisms of active network organization.
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