Deterministické a stochastické modely v molekulární a buněčné biologii

• Main Author: Krasnovský, Pavol
• Other Authors: Vejchodský, Tomáš
• Format: Dissertation
• Language: English
• Published: 2012
• Online Access: http://www.nusl.cz/ntk/nusl-305140

This thesis presents the main methods that are used to model the time evolution of the number of molecules in a cell. Two of the main aims in cell biology are to compute first the transi- tion probability function and second the density of the invariant measure. These two problems imply a number of conditions and hence we also include the ergodic theory and theory of the invariant measure. We use two illustrative examples of the application of the previously mentioned theories. We verify the necessary and sufficient conditions for the computation of the transition probability function and the density of the invariant measure in case of two types of a chemical system. The probability function and the density are then given by a numerical solution to the Fokker-Planck equation in both the dynamic and the stationary case. Furthermore, we compare the obtained solu- tions to the results from the Monte Carlo simulation. We find that the solutions give almost identical results as the Monte Carlo simulation. At the end of this thesis, we formulate and analyze a chemical system represented by a human cell infected by an influenza virus. Given the complexity of the sys- tem, we compute the results using the Monte Carlo method. In addition we define this problem by a stochastic differential equation with random...