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dweindl committed Jan 24, 2024
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Expand Up @@ -1251,6 +1251,23 @@ @Misc{HuckBal2023
publisher = {Research Square Platform LLC},
}
@Article{LangPen2024,
author = {Lang, Paul F. AND Penas, David R. AND Banga, Julio R. AND Weindl, Daniel AND Novak, Bela},
journal = {PLOS Computational Biology},
title = {Reusable rule-based cell cycle model explains compartment-resolved dynamics of 16 observables in RPE-1 cells},
year = {2024},
month = {01},
number = {1},
pages = {1-24},
volume = {20},
abstract = {The mammalian cell cycle is regulated by a well-studied but complex biochemical reaction system. Computational models provide a particularly systematic and systemic description of the mechanisms governing mammalian cell cycle control. By combining both state-of-the-art multiplexed experimental methods and powerful computational tools, this work aims at improving on these models along four dimensions: model structure, validation data, validation methodology and model reusability. We developed a comprehensive model structure of the full cell cycle that qualitatively explains the behaviour of human retinal pigment epithelial-1 cells. To estimate the model parameters, time courses of eight cell cycle regulators in two compartments were reconstructed from single cell snapshot measurements. After optimisation with a parallel global optimisation metaheuristic we obtained excellent agreements between simulations and measurements. The PEtab specification of the optimisation problem facilitates reuse of model, data and/or optimisation results. Future perturbation experiments will improve parameter identifiability and allow for testing model predictive power. Such a predictive model may aid in drug discovery for cell cycle-related disorders.},
creationdate = {2024-01-24T20:02:16},
doi = {10.1371/journal.pcbi.1011151},
modificationdate = {2024-01-24T20:02:16},
publisher = {Public Library of Science},
url = {https://doi.org/10.1371/journal.pcbi.1011151},
}
@Comment{jabref-meta: databaseType:bibtex;}
@Comment{jabref-meta: grouping:
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