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Greening R. Thomas’ Framework with Environment Variables: A Divide and Conquer Approach

  • 2021
  • OriginalPaper
  • Chapter
Published in:
Authors
Laetitia Gibart
Hélène Collavizza
Jean-Paul Comet
Published in
Computational Methods in Systems Biology
Publisher
Springer International Publishing

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Abstract

The chapter introduces a novel method to model biological systems by incorporating environment variables, enhancing the efficiency of parameter setting searches. It compares two approaches: a global approach that simulates different environments in a single network and a 'divide and conquer' approach that handles each environment separately. The latter is shown to be significantly more efficient, reducing computation time from years to minutes for complex regulatory networks. The method is applied to a case study of cell metabolism, demonstrating its practical benefits and potential for scaling to larger systems. The chapter concludes by emphasizing the usefulness of environment variables for exploring hypotheses and coupling subsystems, making it a valuable resource for specialists in systems biology.
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previous chapter Abstraction of Markov Population Dynamics via Generative Adversarial Nets
next chapter Automated Inference of Production Rules for Glycans
Title
Greening R. Thomas’ Framework with Environment Variables: A Divide and Conquer Approach
Authors
Laetitia Gibart
Hélène Collavizza
Jean-Paul Comet
Copyright Year
2021
Book
Computational Methods in Systems Biology

Print ISBN: 978-3-030-85632-8

Electronic ISBN: 978-3-030-85633-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-85633-5_3
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