Evolutionary Modeling of Cell Processes Doctoral Thesis Summary

Anastasia Sluštíková Lebedik

In order to extend knowledge of biological regulation mechanisms modeling, it is necessary to investigate metabolic networks that control cellular processes. Complexity of interactions between components of these networks makes prediction of system behavior extremely challenging. The study of a metabolic system dynamics includes parameter estimation of the system. Due to a large number of reactions, non-linear interactions between different metabolites, enzymes and other components of the system, parameters estimation of metabolic systems can be formulated as non-linear programming (NLP) problem.