Title | ||
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A modeling and simulation language for biological cells with coupled mechanical and chemical processes. |
Abstract | ||
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Biological cells are the prototypical example of active matter. Cells sense and respond to mechanical, chemical and electrical environmental stimuli with a range of mechanistic responses, including dynamic changes in morphology and mechanical properties, chemical uptake and secretion, cell differentiation, proliferation, death, and migration. Modeling and simulation of such dynamic phenomena pose a number of computational challenges. A modeling language describing cellular dynamics must naturally represent complex intra and extra-cellular spatial structures and coupled mechanical, chemical and electrical processes. A compiler must then be able to generate a computational model from this physically motivated description. Finally, a simulator must efficiently evaluate the time evolution of the computational model to generate simulation results. We present the Mechanica modeling language, compiler, and particle-based simulation engine. Mechanica enables construction and simulation of mechanistic models of natural phenomena which couple mechanical and chemical processes, using natural, physically and biologically motivated constructs. |
Year | Venue | Keywords |
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2017 | Proceedings of the Symposium on Theory of Modeling & Simulation | Biological Systems Modeling,Simulation,Spatial Hybrid Systems |
DocType | Volume | Citations |
Conference | abs/1701.00317 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
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Endre T. Somogyi | 1 | 0 | 0.34 |
James Glazier | 2 | 93 | 14.35 |