Abstract

Summary: SensA is a web-based application for sensitivity analysis of mathematical models. The sensitivity analysis is based on metabolic control analysis, computing the local, global and time-dependent properties of model components. Interactive visualization facilitates interpretation of usually complex results. SensA can contribute to the analysis, adjustment and understanding of mathematical models for dynamic systems.Availability and implementation: SensA is available at http://gofid.biologie.hu-berlin.de/ and can be used with any modern browser. The source code can be found at https://bitbucket.org/floettma/sensa/ (MIT license)Contact: max.floettmann@biologie.hu-berlin.de or thomas.spiesser@biologie.hu-berlin.de

Highlights

  • The understanding of complex systems and their dynamics has greatly improved with mathematical modelling

  • The sensitivity analysis is based on metabolic control analysis, computing the local, global and time-dependent properties of model components

  • SensA can contribute to the analysis, adjustment and understanding of mathematical models for dynamic systems

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Summary

INTRODUCTION

The understanding of complex systems and their dynamics has greatly improved with mathematical modelling. Sensitivity analysis measures the change of a specific system property (e.g. a steady state concentration, reaction flux or the amplitude of oscillations) in response to changes in parameter values. It shows how sensitive the system is towards a particular parameter. To assess the effect of a perturbation of a parameter or reaction rate on the steady state fluxes or concentrations, we compute global response and control coefficients. A clear focus on sensitivities and a modern Javascript-based front-end make the tool easy to use It extends sensitivity analysis as compared with standard modelling software [e.g. Copasi (Hoops et al, 2006) or JWS online (Olivier and Snoep, 2004)] to include time-dependent sensitivities as well. SensA offers the most complete set of sensitivity analysis we know of

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