Adjoint Systems for Models of Cell Signaling Pathways and their Application to Parameter Fitting

摘要: The paper concerns the problem of fitting mathematical models cell signaling pathways. Such frequently take form sets nonlinear ordinary differential equations. While model is continuous in time, performance index used procedure involves measurements taken at discrete time moments. Adjoint sensitivity analysis a tool which can be for finding gradient space parameters model. In paper, structural formulation adjoint called generalized backpropagation through (GBPTT) used. method especially suited hybrid, continuous-discrete systems. As an example, we use NF-kappaB regulatory module, plays major role innate immune response animals.