SensA

SensA performs sensitivity analysis of mathematical models of dynamic systems to quantify how parameter perturbations affect system behavior using metabolic control analysis.

Key Features:

• Metabolic Control Analysis-Based Sensitivity: Applies metabolic control analysis to quantify sensitivities and control properties of model components.
• Local, Global, and Time-Dependent Analysis: Computes local (small perturbation), global (across parameter space), and time-dependent sensitivity metrics to characterize parameter effects.
• Interactive Visualization: Produces interactive graphical representations to explore sensitivity results across parameters and time courses.

Scientific Applications:

• Systems Biology: Evaluates parameter influence in dynamic systems and biochemical pathways within systems biology models.
• Biochemical Network Modeling: Identifies control coefficients and sensitive parameters in biochemical network models.
• Model Refinement and Parameter Prioritization: Supports refinement of models by identifying critical parameters that significantly influence model outcomes.

Methodology:

Computes sensitivity metrics using metabolic control analysis to assess local, global, and time-dependent sensitivities of model components.