Systems Biology and Computational Modeling - 881 Words

Systems biology integrates computational modelling with experimental techniques in order to better understand the function of living organisms, the regulation of their cellular processes and how these cells react to environmental perturbations [1]. Among the different computational approaches, kinetic modelling gives the most detailed representation of the biological system. These models build on the stoichiometry of the reactions, incorporating the dynamic interactions between different components of the network. The dynamics in kinetic models are driven through ordinary differential equations (ODEs) that represent the internal reaction mechanism as a function of species concentration and parameters. These model parameters play a crucial role in describing the correct dynamics of the model. However, it is only possible to measure a fraction of these kinetic parameters in wet lab experiments due to high cost, difficulty and limitations in current techniques or methods [2]. Therefore these parameters are indirectly determined through computational methods from other measurement quantities, in particular the time course data of metabolite concentrations. However, as biological models are often multi-modal it is not uncommon for traditional parameter estimation methods to become stuck in local optima [3]. In addition, traditional methods tend to perform badly in the presence of high measurement noise. Furthermore most of these methods do not consider any form of modelShow MoreRelatedTheoretical And Conceptual Of Computer Science1528 Words   |  7 PagesAnalyze Research in Theoretical and Conceptual Knowledge in Computer Science Computer Science is not just the study of computer software and computational problems. It comprises the investigation of imitation and natural manifestations. 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