Systems Biology Commons^™

Dynamic Modeling And Stochastic Simulation Of Metabolic Networks, Emalie Clement

UNO Student Research and Creative Activity Fair

Throughout our current generation, scientific studies, with the help of increased technological methods, have enabled the investigation of biology at nanoscale levels. Nevertheless, such systems necessitate the use of computational methods to comprehend the complex interactions occurring. Traditionally, dynamics of metabolic systems are described by ordinary differential equations producing a deterministic result which negates the intrinsic heterogeneity of intracellular systems. More recently, stochastic modeling approaches have gained popularity with the capability of providing more realistic outcomes. Yet, solving stochastic algorithms tend to be computationally intensive processes. Employing the queueing theory, an approach commonly used to evaluate telecommunication networks, reduces the …