Process calculi hold great promise for modeling and analysis of cellular mechanics and behavior. While measured success has been achieved in their simulation of specific biochemical pathways and molecular mechanisms within the cell, several obstacles remain to their widespread adoption and use. Chiefly, these have to with the difficulty of modeling cell membranes and localized behavior, and limitations on the scalability of the execution model. This paper describes a multi-layered formalism - GridSPiM - that engages notions of concurrency, locality and encapsulation to provide a framework suitable for capturing the key aspects of cellular processes. ©Springer-Verlag Berlin Heidelberg 2009.
CITATION STYLE
Tyree, S., Kuplicki, R., Sarratt, T., Fujan, S., & Hale, J. (2009). GridSPiM: A framework for simple locality and containment in the stochastic π-calculus. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5462 LNBI, pp. 409–423). https://doi.org/10.1007/978-3-642-00727-9_38
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