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STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability
Sandra Díaz-Seoane1, Xabier Rey Barreiro1, Alejandro F Villaverde1,2
1Department of Systems and Control Engineering, Universidade de Vigo, Galicia, 36310 Vigo, Spain.
STRIKE-GOLDD 4.0 offers enhanced ODE model analysis with its new ProbObsTest algorithm for rational models, improving computational efficiency while retaining broad applicability for structural identifiability and observability studies.
Area of Science:
- Systems Biology
- Computational Biology
- Mathematical Modeling
Background:
- Structural identifiability and observability are crucial for analyzing Ordinary Differential Equation (ODE) models.
- Existing tools may offer broad applicability but lack computational efficiency for complex models.
Purpose of the Study:
- To introduce STRIKE-GOLDD 4.0, a toolbox for analyzing structural identifiability and observability of ODE models.
- To enhance computational efficiency for rational models through a new algorithm, ProbObsTest.
Main Methods:
- Development of the ProbObsTest algorithm for rational ODE models.
- Integration of ProbObsTest alongside the existing FISPO algorithm within the STRIKE-GOLDD toolbox.
- Implementation as a user-friendly MATLAB toolbox with a graphical interface.
Main Results:
- ProbObsTest demonstrates significantly improved speed compared to FISPO for computationally intensive models.
- STRIKE-GOLDD 4.0 combines the generality of FISPO with the efficiency of ProbObsTest.
- The toolbox supports non-linear, non-rational ODE models with known and unknown inputs.
Conclusions:
- STRIKE-GOLDD 4.0 provides a versatile and computationally efficient solution for ODE model analysis.
- The dual-algorithm approach enhances its applicability across a wider range of modeling challenges.
- The free and open-source nature promotes accessibility and further development in the scientific community.
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