IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v426y2022ics009630032200193x.html
   My bibliography  Save this article

Adding species to chemical reaction networks: Preserving rank preserves nondegenerate behaviours

Author

Listed:
  • Banaji, Murad
  • Boros, Balázs
  • Hofbauer, Josef

Abstract

We show that adding new chemical species into the reactions of a chemical reaction network (CRN) in such a way that the rank of the network remains unchanged preserves its capacity for multiple nondegenerate equilibria and/or periodic orbits. One consequence is that any bounded nondegenerate behaviours which can occur in a CRN can occur in a CRN with bounded stoichiometric classes. The main result adds to a family of theorems which tell us which enlargements of a CRN preserve its capacity for nontrivial dynamical behaviours. It generalises some earlier claims, and complements similar claims involving the addition of reactions into CRNs. The result gives us information on how ignoring some chemical species, as is common in biochemical modelling, might affect the allowed dynamics in differential equation models of CRNs. We demonstrate the scope and limitations of the main theorem via several examples. These illustrate how we can use the main theorem to predict multistationarity and oscillation in CRNs enlarged with additional species; but also how the enlargements can introduce new behaviours such as additional periodic orbits and new bifurcations.

Suggested Citation

  • Banaji, Murad & Boros, Balázs & Hofbauer, Josef, 2022. "Adding species to chemical reaction networks: Preserving rank preserves nondegenerate behaviours," Applied Mathematics and Computation, Elsevier, vol. 426(C).
  • Handle: RePEc:eee:apmaco:v:426:y:2022:i:c:s009630032200193x
    DOI: 10.1016/j.amc.2022.127109
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S009630032200193X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2022.127109?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Banaji, Murad, 2018. "Inheritance of oscillation in chemical reaction networks," Applied Mathematics and Computation, Elsevier, vol. 325(C), pages 191-209.
    2. Liang Qiao & Robert B Nachbar & Ioannis G Kevrekidis & Stanislav Y Shvartsman, 2007. "Bistability and Oscillations in the Huang-Ferrell Model of MAPK Signaling," PLOS Computational Biology, Public Library of Science, vol. 3(9), pages 1-8, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Carlo Chan & Xinfeng Liu & Liming Wang & Lee Bardwell & Qing Nie & Germán Enciso, 2012. "Protein Scaffolds Can Enhance the Bistability of Multisite Phosphorylation Systems," PLOS Computational Biology, Public Library of Science, vol. 8(6), pages 1-9, June.
    2. Peter Rashkov & Ian P Barrett & Robert E Beardmore & Claus Bendtsen & Ivana Gudelj, 2016. "Kinase Inhibition Leads to Hormesis in a Dual Phosphorylation-Dephosphorylation Cycle," PLOS Computational Biology, Public Library of Science, vol. 12(11), pages 1-15, November.
    3. Samrat Chatterjee & Dhiraj Kumar, 2011. "Unraveling the Design Principle for Motif Organization in Signaling Networks," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-9, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:426:y:2022:i:c:s009630032200193x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.