Modeling regenerative processes with membrane computing
Modeling regenerative processes with membrane computing
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DOI：
10.1016/j.ins.2016.11.017
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发表时间：
2017-03
期刊：
影响因子：
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通讯作者：
Manuel García-Quismondo;M. Levin;Daniel Lobo
中科院分区：
文献类型：
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作者：
Manuel García-Quismondo;M. Levin;Daniel Lobo
了解一些生物体在身体大部分截肢后恢复其解剖形状的非凡能力是目前再生生物学和生物医学的一个主要未解决的问题。尽管再生所需的分子过程进展迅速，但在系统水平上，对这一过程的算法理解仍然难以捉摸。因此，该领域需要新的计算范式来帮助模拟再生过程中的信息流。膜计算是自然计算的一个分支，研究被称为P系统的理论计算设备的性质和应用。这些系统是活细胞的结构和功能的抽象，以及它在组织中的组织。在这里，我们提出了一个基于P系统的涡虫再生过程模型，该模型概括了再生模式调节的几个方面。我们的研究结果表明，有可能应用一种新的计算框架来帮助理解再生生物学中的模式调节。
Understanding the remarkable ability of some organisms to restore their anatomical shape following the amputation of large parts of their bodies is currently a major unsolved question in regenerative biology and biomedicine. Despite rapid advances in the molecular processes required for regeneration, a systems level, algorithmic understanding of this process has remained elusive. For this reason, the field needs new computational paradigms to help model the flow of information during regeneration. Membrane computing is a branch of natural computing that studies the properties and applications of theoretical computing devices known as P systems. These systems are an abstraction of the structure and functioning of a living cell, as well as its organization in tissues. Here, we propose a model of regenerative processes in planarian worms based on P systems, which recapitulates several aspects of regenerative pattern regulation. Our results demonstrate that it is possible to apply a novel computational framework to help understand pattern regulation in regenerative biology.