Overcoming unknown kinetic data for quantitative modelling of biological systems using fuzzy logic and Petri nets
نویسندگان
چکیده
Biological system modelling is used to guide experimental work, therefore reducing the time and cost of in vivo implementation of newly designed systems. We introduce an improved modelling method, based on fuzzy logic and Petri nets. By using fuzzy logic to linguistically describe a biological process, we avoid the necessity to use kinetic rates, which are often unknown. We introduce a new set of transition functions to enable the use of our method with existing Continuous Petri nets. With this we achieve the extension of usability and applicability of current Continuous Petri nets definition even for biological systems for which exact kinetic data are unknown. We demonstrate the contribution of our approach by using it to model the translation in a simple transcription-translation system. We compare the results obtained to the results of exiting ODE approaches.
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