Computational systems biology

In our group we cover the following areas of computational systems biology.

Modeling and simulation of biomolecular networks and physiological systems

  • Nonlinear Differential Equation models
  • Parameter Sensitivity Analysis
  • Feedback control in biomolecular networks

Data integration / model parameterization

  • Parameter Estimation (Maximum Likelihood Estimation, Bayesian Parameter Estimation)
  • Uncertainty Analysis (Prediction Uncertainty Analysis, PUA)
  • Experimental Design

Multi-scale modeling in biology and biomedicine

  • Modelling of adaptations in biological systems: disease progression and integration of longitudinal treatment-in-time data from patients (ADAPT, multiple time-scales)
  • Spatio-temporal dynamics of metabolic networks (PDE models)