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  A Computational Approach to Concentration Robustness in Power Law Kinetic Systems of Shinar-Feinberg Type

Fontanil, L. L., Mendoza, E. R., & Fortun, N. T. (2021). A Computational Approach to Concentration Robustness in Power Law Kinetic Systems of Shinar-Feinberg Type. Match-Communications in Mathematical and in Computer Chemistry, 86(3), 489-516.

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 Urheber:
Fontanil, Lauro L.1, Autor
Mendoza, Eduardo R.2, Autor           
Fortun, Noel T.1, Autor
Affiliations:
1external, ou_persistent22              
2Oesterhelt, Dieter / Membrane Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565164              

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Schlagwörter: DEFICIENCY-ZEROChemistry; Computer Science; Mathematics;
 Zusammenfassung: There have been recent theoretic results that provide sufficient conditions for the existence of a species displaying absolute concentration robustness (ACR) in a power law kinetic (PLK) system. One such result involves the detection of ACR among networks of high deficiency by considering a lower deficiency subnetwork with ACR as a local property. In turn, this "smaller" subnetwork serves as a "building block" for the larger ACR-possessing network. Here, with this theorem as foundation, we construct an algorithm that systematically checks ACR in a PLK system. By slightly modifying the algorithm, we also provide a procedure that identifies balanced concentration robustness (BCR), a weaker form of concentration robustness than ACR, in a PLK system.

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Sprache(n): eng - English
 Datum: 2021
 Publikationsstatus: Erschienen
 Seiten: 28
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 000695459900002
 Art des Abschluß: -

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Titel: Match-Communications in Mathematical and in Computer Chemistry
  Kurztitel : Match-Commun. Math. Co.
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Kragujevac, Serbia : University of Kragujevac, Faculty of Science
Seiten: - Band / Heft: 86 (3) Artikelnummer: - Start- / Endseite: 489 - 516 Identifikator: ISSN: 0340-6253
CoNE: https://pure.mpg.de/cone/journals/resource/0340-6253