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Journal Article

Design centering enables robustness screening of pattern formation models.

MPS-Authors
/persons/resource/persons219678

Solomatina,  Anastasia
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219059

Cezanne,  Alice
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219285

Kalaidzidis,  Yannis
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219807

Zerial,  Marino
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

/persons/resource/persons219620

Sbalzarini,  Ivo F.
Max Planck Institute for Molecular Cell Biology and Genetics, Max Planck Society;

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https://publications.mpi-cbg.de/Solomatina_2022_8447.pdf
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Citation

Solomatina, A., Cezanne, A., Kalaidzidis, Y., Zerial, M., & Sbalzarini, I. F. (2022). Design centering enables robustness screening of pattern formation models. Bioinformatics (Oxford, England), 38(Suppl 2): ii134-ii140. doi:10.1093/bioinformatics/btac480.


Cite as: https://hdl.handle.net/21.11116/0000-000C-7479-A
Abstract
Access to unprecedented amounts of quantitative biological data allows us to build and test biochemically accurate reaction-diffusion models of intracellular processes. However, any increase in model complexity increases the number of unknown parameters and, thus, the computational cost of model analysis. To efficiently characterize the behavior and robustness of models with many unknown parameters remains, therefore, a key challenge in systems biology.