We describe a novel application of a stochastic name-passing calculus for the study of biomolecular systems. We specify the structure and dynamics of biochemical networks in a variant of the stochastic #-calculus, yielding a model which is mathematically well-defined and biologically faithful. We adapt the operational semantics of the calculus to account for both the time and probability of biochemical reactions, and present a computer implementation of the calculus for biochemical simulations. 2001 Elsevier Science B.V. All rights reserved
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We apply quantitative formal methods to a domain from the life sciences: biochemical signalling path...
The time evolution of chemical systems is traditionally modeled using deterministic ordinary differe...
Abstract. The pi-calculus, in particular its stochastic version the stochastic pi-calculus, is a com...
Numerous programming languages based on process calculi have been develo-ped for biological modellin...
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