Selected papers of the Second Workshop on Concurrency and compositionality
A calculus of mobile processes, I
Information and Computation
Gamma and the chemical reaction model: ten years after
Coordination programming
Theoretical Computer Science
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Automated global-to-local programming in 1-D spatial multi-agent systems
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Beta binders for biological interactions
CMSB'04 Proceedings of the 20 international conference on Computational Methods in Systems Biology
Discrete event multi-level models for systems biology
Transactions on Computational Systems Biology I
Parameter Tuning of a Stochastic Biological Simulator by Metaheuristics
AI*IA '09: Proceedings of the XIth International Conference of the Italian Association for Artificial Intelligence Reggio Emilia on Emergent Perspectives in Artificial Intelligence
A Framework for Modelling and Simulating Networks of Cells
Electronic Notes in Theoretical Computer Science (ENTCS)
| Hi-index | 0.00 |
A state-of-the-art problem in Computational Systems Biology is to provide suitable tools to model and predict the behaviour of multicellular systems (tissues, embryos) where biological interactions occur both inside and between cells (or compartments in general). Starting from existing computational models and languages such as stochastic π-calculus, Petri Nets, mobile ambients, and membrane computing, we developed a new computational framework based on (i) a compositional model for biological compartments, and (ii) an enhanced model of chemical rules addressing also biomechanical actions such as substances diffusion across membranes or compartments splitting. We tested a fragment of the framework using a case study based on spatial pattern formation in embryogenesis, where the interplay between cells' internal dynamics and cell-to-cell interactions has a central role.