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Abstraction-Based Segmental Simulation of Chemical Reaction Networks

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HELFRICH Martin ČEŠKA Milan KŘETÍNSKÝ Jan MARTICEK Stefan

Rok publikování 2022
Druh Článek ve sborníku
Konference Computational Methods in Systems Biology - 20th International Conference, CMSB 2022, Bucharest, Romania, September 14-16, 2022, Proceedings
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Doi http://dx.doi.org/10.1007/978-3-031-15034-0_3
Popis Simulating chemical reaction networks is often computationally demanding, in particular due to stiffness. We propose a novel simulation scheme where long runs are not simulated as a whole but assembled from shorter precomputed segments of simulation runs. On the one hand, this speeds up the simulation process to obtain multiple runs since we can reuse the segments. On the other hand, questions on diversity and genuineness of our runs arise. However, we ensure that we generate runs close to their true distribution by generating an appropriate abstraction of the original system and utilizing it in the simulation process. Interestingly, as a by-product, we also obtain a yet more efficient simulation scheme, yielding runs over the system’s abstraction. These provide a very faithful approximation of concrete runs on the desired level of granularity, at a low cost. Our experiments demonstrate the speedups in the simulations while preserving key dynamical as well as quantitative properties.

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