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Increased research aimed at simulating biological systems requires sophisticated parameter estimation methods.
This software was developed ad hoc for simulating biological systems with cells interacting in a microenvironment.
A novel method of modeling and simulating biological systems with the use of model checking approach is proposed based on hybrid functional Petri net with extension (HFPNe) as the framework dealing with both discrete and continuous events.
In order to circumvent this problem, Andrews and Bray recently devised a scheme which corrects σ b for longer timesteps, making it more useful for simulating biological systems [ 17].
The contribution of this paper is a novel method of modeling and simulating biological systems with the use of model checking approach on the hybrid functional Petri net with extension.
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To simulate biological systems, pseudoplastic solutions of xanthan were employed.
Agent-based models (ABMs) are increasingly used to simulate biological systems, for example, to model the growth of cells in various tissues.
Prediction requires robust models that can simulate biological systems.
Motivation: The growing field of systems biology has driven demand for flexible tools to model and simulate biological systems.
Molecular dynamics simulations provide a powerful tool to understand protein function (for a review see). 1 Using computers to simulate biological systems started back in early 1980s.
The adequate stability, in simulated biological system and plasma, and the lack of mutagenicity of these derivatives allow us to propose them as candidates for further pre-clinical studies.
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