Communicating and mobile systems: the &pgr;-calculus
Communicating and mobile systems: the &pgr;-calculus
Enhanced operational semantics: a tool for describing and analyzing concurrent systems
ACM Computing Surveys (CSUR)
Information Processing Letters
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Gamma and the Chemical Reaction Model: Fifteen Years After
WMP '00 Proceedings of the Workshop on Multiset Processing: Multiset Processing, Mathematical, Computer Science, and Molecular Computing Points of View
Theoretical Computer Science - Special issue: Computational systems biology
Modelling biochemical pathways through enhanced π-calculus
Theoretical Computer Science - Special issue: Computational systems biology
BioAmbients: an abstraction for biological compartments
Theoretical Computer Science - Special issue: Computational systems biology
A Calculus of Looping Sequences for Modelling Microbiological Systems
Fundamenta Informaticae - SPECIAL ISSUE ON CONCURRENCY SPECIFICATION AND PROGRAMMING (CS&P 2005) Ruciane-Nide, Poland, 28-30 September 2005
Encoding Catalytic P Systems in π@
Electronic Notes in Theoretical Computer Science (ENTCS)
An Intermediate Language for the Simulation of Biological Systems
Electronic Notes in Theoretical Computer Science (ENTCS)
A core calculus for a comparative analysis of bio-inspired calculi
ESOP'07 Proceedings of the 16th European conference on Programming
The calculus of looping sequences for modeling biological membranes
WMC'07 Proceedings of the 8th international conference on Membrane computing
The calculus of looping sequences
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
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We introduce Stochastic String MultiSet Rewriting (sSMSR), and propose this formalism as an intermediate language for the simulation of biomolecular systems. Higher level formalisms for biological systems description can be translated into sSMSR, and the features of sSMSR allow the development of efficient simulators. In this paper, we show the encoding into sSMSR of two formalisms for the description of biological systems, namely Stochastic CLS and the Stochastic @p-calculus. We prove soundness and completeness of both the encodings.