2008
DOI: 10.1007/978-3-540-88765-2_3
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Stochastic Calculus of Looping Sequences for the Modelling and Simulation of Cellular Pathways

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Cited by 21 publications
(30 citation statements)
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“…Both automata-like models and rewrite systems present, in general, problems from the point of view of compositionality, which, instead, is in general ensured by process calculi, included those commonly used to describe biological systems [38,36,10]. The Stochastic Calculus of Looping Sequences (SCLS) [7] (see also [9,8,31]) combines the simplicity of notation of rewrite systems with the advantage of a form of compositionality. It also allows a rather simple and accurate description of biological membranes and their interactions with the environment.…”
Section: Abstract the Stochastic Calculus Of Wrapped Compartments (Smentioning
confidence: 99%
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“…Both automata-like models and rewrite systems present, in general, problems from the point of view of compositionality, which, instead, is in general ensured by process calculi, included those commonly used to describe biological systems [38,36,10]. The Stochastic Calculus of Looping Sequences (SCLS) [7] (see also [9,8,31]) combines the simplicity of notation of rewrite systems with the advantage of a form of compositionality. It also allows a rather simple and accurate description of biological membranes and their interactions with the environment.…”
Section: Abstract the Stochastic Calculus Of Wrapped Compartments (Smentioning
confidence: 99%
“…Like most modeling languages based on term rewriting (notably [7]) an SCWC (biological) model consists of a term, representing the system and a set of rewrite rules which models the transformations which determine its evolution.…”
Section: The Stochastic Calculus Of Wrapped Compartmentsmentioning
confidence: 99%
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“…To define the "canonical" function that represents the law of mass action the application rate of a reduction rule should depend on the kinetic constant of the reaction and the number of possible reactants in the considered compartment in which the reaction will take place. Following an approach similar to that of [4,18], this can be obtained counting the number of different ways in which the rule representing a reaction can be applied in the considered context producing the same outcome. In our setting, however, we can formalize the canonical function in a simpler way.…”
Section: Definition 43 (Stochastic Reduction)mentioning
confidence: 99%
“…Quantitative simulations of biological models represented with these kinds of frameworks (e.g. [2], [6], [7]) are usually developed via a stochastic method derived by Gillespie's algorithm [8].…”
Section: Introductionmentioning
confidence: 99%