Modeling regenerative processes with membrane computing

被引:34
作者
Garcia-Quismondo, Manuel [1 ]
Levin, Michael [2 ]
Lobo, Daniel [3 ]
机构
[1] Smithsonian Inst, Natl Zool Pk, 3001 Connecticut Ave,NW, Washington, DC 20008 USA
[2] Tufts Univ, Dept Biol, 200 Boston Ave, Medford, MA 02155 USA
[3] Univ Maryland, Dept Biol Sci, 1000 Hilltop Circle, Baltimore, MD 21250 USA
关键词
Planarian; Modeling; Regeneration; P systems; Membrane computing; Bioinformatics; TISSUE P-SYSTEMS; PLANARIAN REGENERATION; MORPHOGENETIC FIELDS; GENE-EXPRESSION; HEAD; ACTIVATION; EVOLUTION; MEDICINE; POLARITY;
D O I
10.1016/j.ins.2016.11.017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:229 / 249
页数:21
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