Graph-based, dynamics-preserving reduction of (bio)chemical systems
Author:
Funder
Natural Sciences and Engineering Research Council of Canada
University of Lethbridge
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00285-024-02138-0.pdf
Reference125 articles.
1. Apri M, de Gee M, Molenaar J (2012) Complexity reduction preserving dynamical behavior of biochemical networks. J Theor Biol 304:16–26. https://doi.org/10.1016/j.jtbi.2012.03.019
2. Banaji M, Pantea C (2016) Some results on injectivity and multistationarity in chemical reaction networks. SIAM J Appl Dyn Syst 15:807–869. https://doi.org/10.1137/15M1034441
3. Battelli F, Lazzari C (1985) On the pseudo-steady-state approximation and Tikhonov theorem for general enzyme systems. Math Biosci 75:229–246. https://doi.org/10.1016/0025-5564(85)90039-2
4. Blanchini F, Franco E, Giordano G (2014) A structural classification of candidate oscillatory and multistationary biochemical systems. Bull Math Biol 76:2542–2569. https://doi.org/10.1007/s11538-014-0023-y
5. Boie S, Kirk V, Sneyd J, Wechselberger M (2016) Effects of quasi-steady-state reduction on biophysical models with oscillations. J Theor Biol 393:16–31. https://doi.org/10.1016/j.jtbi.2015.12.011
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