Abstract
There are two basic approaches used to develop the so called genetic algorithms: the deterministic approach, and the second one is the stochastic approach, with algorithms that add randomness to the model. The stochastic model is based on multiple reactions of molecules that can occur in spatially homogenous system, a situation that is characteristic to the natural biological cells. The randomness is a must to have a simulation model behavior that corresponds to the real phenomena. To each simulation model, another problem is to add the feedback reactions that brings the cell model closer to a real one. A cell model built on those principles is describe. The original contribution of this paper is to establish the basic principles that proved to work with that specific cell model.
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Stoicovici, D., Cotetiu, A., Banica, M., Ungureanu, M., Craciun, I. (2017). Principles to Build a Stochastic Model for a Minimal Biological Cell with Built-in Feedback Reaction Capabilities. In: Vlad, S., Roman, N. (eds) International Conference on Advancements of Medicine and Health Care through Technology; 12th - 15th October 2016, Cluj-Napoca, Romania. IFMBE Proceedings, vol 59. Springer, Cham. https://doi.org/10.1007/978-3-319-52875-5_73
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DOI: https://doi.org/10.1007/978-3-319-52875-5_73
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