Prof. Rza Bashirov

Eastern Mediterranean University, Türkiye

Modelling disease – drug networks with Petri nets

Abstract. Quantitative modelling of biological systems with Petri nets has undergone a renaissance over the past two decades. In spite of ever-growing numbers of models, it is still a question whether such models are biologically relevant. Despite the fact that most of the biological processes are mesoscopic in scale, the majority of models uses deterministic predictions, which cannot quantify uncertainties and randomness inherent in such biological processes. Choice between deterministic, stochastic and fuzzy parameters and aspects; that is, what modelling approach to use to approximate biological systems to the desired relevance, and how to measure the parallels and discrepancies between modelling paradigms, are the main questions addressed in this work. We use Petri nets with discrete, continuous, hybrid, stochastic and fuzzy extensions and parameters to exemplify our approach. For the case study of Spinal Motor Neuron production network, the statistical analysis reveals significant deviations between simulation results collected from three modelling approaches. Since the underlying biological system is at the mesoscopic-scale, we conclude that fuzzy stochastic approach produces quantitative results with the most biological relevance.

Plenary Speakers

Prof. Roman A. Polyak
George Mason University, USA
Prof. Srinivas Chakravarthy
Kettering University, Flint, USA
Prof. Arkadii Chikrii
V. M. Glushkov Institute of Cybernetics, Kyiv, Ukraine
Prof. Boris S. Mordukhovich
Wayne State University, Detroit, USA
Prof. Janusz Kacprzyk
Warsaw University of Technology, Poland
Prof. Yedilkhan Amirgaliyev
Institute of Information and Computing Technologies, Almaty, Kazakhstan
Prof. Adil Bagirov
Centre for Smart Analytics, Institute of Innovation, Science and Sustainability, Federation University Australia, Australia
Prof. Rza Bashirov
Eastern Mediterranean University, Turkey
Prof. Refail Kasimbeyli
Eskişehir Technical University, Türkiye
Prof. Agasi Melikov
Institute of Control Systems, Ministry of Science and Education, Azerbaijan
Prof. Mais Farkhadov
Institute of Control Sciences of RAS, Russia