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Titlebook: Computational Methods in Systems Biology; 14th International C Ezio Bartocci,Pietro Lio,Nicola Paoletti Conference proceedings 2016 Springe

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https://doi.org/10.1007/978-3-658-39934-4 multi-valued networks modelling dynamics of biological systems, the reduction can shrink down significantly the reachable state space, enhancing the tractability of the model-checking of large networks.
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(Mathematical) Logic for Systems Biology (Invited Paper)tely formal (interactive) proofs in Coq. Future works includes using automatic provers, which would extend existing automatic provers for linear logic. This should enable us to specify and study more realistic examples in systems biology, biomedicine (diagnosis and prognosis), and eventually neuroscience.
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Local Traces: An Over-Approximation of the Behaviour of the Proteins in Rule-Based Modelscan pass from one conformation to another one. Then, we use simplicial complexes to abstract away the interleaving order of the transformations between conformations that commute. As a result, we get a compact summary of the potential behaviour of each protein of the model.
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A Stochastic Hybrid Approximation for Chemical Kinetics Based on the Linear Noise Approximationse studies demonstrates that the techniques are able to provide an accurate stochastic characterisation for a large class of systems, especially those presenting dynamical stiffness, resulting in significant improvement of computation time while still maintaining scalability.
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Autonomous and Adaptive Control of Populations of Bacteria Through Environment Regulation bacteria virulence can be significantly reduced without developing drug resistance or inducing selective pressure among bacteria wild type and mutants. This work represents a first step towards a paradigm change in reducing bacterial pathogenesis via controlling the dynamics of the cell-cell communication through environment regulation.
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