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GenSSI: a software toolbox for structural identifiability analysis of biological models.

Oana Chiş¹, Julio R Banga, Eva Balsa-Canto

¹(Bio)Process Engineering Group, Spanish National Research Council, IIM-CSIC, 36208 Vigo, Spain.

Bioinformatics (Oxford, England)

|July 26, 2011

Summary

Systems biology relies on mathematical models. A new software toolbox, GenSSI, simplifies checking structural identifiability for complex models, aiding accurate parameter estimation.

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Area of Science:

Systems biology
Mathematical modeling
Computational biology

Background:

Model building in systems biology is an iterative process.
Parameter estimation is crucial but challenging.
Structural identifiability, ensuring unique parameter estimation, is often overlooked.

Purpose of the Study:

To introduce GenSSI, a software toolbox for assessing structural identifiability.
To provide a user-friendly tool for non-expert modelers.
To facilitate the initial stages of mathematical model building.

Main Methods:

Development of the GenSSI software toolbox.
Implementation of algorithms for analyzing structural identifiability.
Testing with non-linear dynamic models.

Main Results:

GenSSI enables efficient checking of structural identifiability.
The toolbox simplifies a complex analysis task.
It supports modelers in avoiding common pitfalls in parameter estimation.

Conclusions:

Structural identifiability is a critical prerequisite for reliable model building.
GenSSI offers a practical solution for assessing this property.
The toolbox enhances the usability of mathematical modeling in systems biology.