Dynamical equivalence and linear conjugacy of biochemical reaction network models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.

Original languageEnglish
Title of host publicationIFAC Proceedings Volumes (IFAC-PapersOnline)
Pages125-130
Number of pages6
DOIs
Publication statusPublished - 2012
Event8th IFAC Symposium on Biological and Medical Systems, BMS 2012 - Budapest, Hungary
Duration: Aug 29 2012Aug 31 2012

Other

Other8th IFAC Symposium on Biological and Medical Systems, BMS 2012
CountryHungary
CityBudapest
Period8/29/128/31/12

Fingerprint

Identification (control systems)

Keywords

  • Biological systems
  • Chemical reaction networks
  • Optimization

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Dynamical equivalence and linear conjugacy of biochemical reaction network models. / Szederkényi, G.; Tuza, Z. A.; Hangos, K.

IFAC Proceedings Volumes (IFAC-PapersOnline). 2012. p. 125-130.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Szederkényi, G, Tuza, ZA & Hangos, K 2012, Dynamical equivalence and linear conjugacy of biochemical reaction network models. in IFAC Proceedings Volumes (IFAC-PapersOnline). pp. 125-130, 8th IFAC Symposium on Biological and Medical Systems, BMS 2012, Budapest, Hungary, 8/29/12. https://doi.org/10.3182/20120829-3-HU-2029.00042
Szederkényi, G. ; Tuza, Z. A. ; Hangos, K. / Dynamical equivalence and linear conjugacy of biochemical reaction network models. IFAC Proceedings Volumes (IFAC-PapersOnline). 2012. pp. 125-130
@inproceedings{e753760fa3cb4dc2a02f87e1d5563d1f,
title = "Dynamical equivalence and linear conjugacy of biochemical reaction network models",
abstract = "The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.",
keywords = "Biological systems, Chemical reaction networks, Optimization",
author = "G. Szederk{\'e}nyi and Tuza, {Z. A.} and K. Hangos",
year = "2012",
doi = "10.3182/20120829-3-HU-2029.00042",
language = "English",
isbn = "9783902823106",
pages = "125--130",
booktitle = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

}

TY - GEN

T1 - Dynamical equivalence and linear conjugacy of biochemical reaction network models

AU - Szederkényi, G.

AU - Tuza, Z. A.

AU - Hangos, K.

PY - 2012

Y1 - 2012

N2 - The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.

AB - The distinguishability and identifiability of biological network models are key properties influencing the reliability of structural and parametric identification of such models. Recently, several new results have been published about dynamically equivalent and linearly conjugate reaction networks. In this paper, the notion and importance of dynamical equivalence and linear conjugacy of biochemical network models obeying the mass action law is shown. For this, new concepts in the form of core complexes and core reactions for linearly conjugate networks are introduced. Two examples illustrate the developed computation methods.

KW - Biological systems

KW - Chemical reaction networks

KW - Optimization

UR - http://www.scopus.com/inward/record.url?scp=84881037415&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84881037415&partnerID=8YFLogxK

U2 - 10.3182/20120829-3-HU-2029.00042

DO - 10.3182/20120829-3-HU-2029.00042

M3 - Conference contribution

AN - SCOPUS:84881037415

SN - 9783902823106

SP - 125

EP - 130

BT - IFAC Proceedings Volumes (IFAC-PapersOnline)

ER -