The goal of this model is to create and to implement qualitative model of the signal track of olfactory sensory neuron, including the feedback with a focus on diffusion of substances that allows to conduct more simulations for the better understanding of dynamics of the signal track. This model is expected to be used for the simulation of influencing during the activation of two receptors in firstly defined distance. Model was created and therefore implemented in a programming language Python with the use of library STEPS. Then I have conducted sensitivity analysis by a method Morris OAT on the model, together with an optimization with the usage of change of individual parameters with a great importance on the output of the model. Model is conducting good and biologically comparable results when there are from 10 to 100 active receptors at the beginning of the track. Unfortunately with a lower numbers, the results are not valid and therefore not to be used for the simulation of influencing of two activated receptors. Despite this is a main benefit of the work the model of signal transduction for the whole signal track with an included feedback and emphasis on diffusion. Another benefit is a set of scripts for the sensitivity analysis by a method Morris OAT and optimization.
| Identifer | oai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:355990 |
| Date | January 2017 |
| Creators | Beneš, Martin |
| Contributors | Zápotocký, Martin, Jelínek, Jan |
| Source Sets | Czech ETDs |
| Language | Czech |
| Detected Language | English |
| Type | info:eu-repo/semantics/masterThesis |
| Rights | info:eu-repo/semantics/restrictedAccess |
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