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A Petri net based model of oxidative stress in atherosclerosis

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper a Petri net based model of the process of oxidative stress in atherosclerosis is presented and analyzed. Model expressed in the language of Petri net theory have, on one hand, an intuitive graphical representation, and on the other hand their formal properties can be analyzed using rigorous mathematical methods. Moreover, the behavior of a net can be simulated what supports the process of model development and an interpretation of the results of the analysis. Both the analysis and the simulation can be supported by many freely available software tools. In the case of biological systems an analysis the t-invariants is especially important since they correspond to some elementary biological subprocesses. In this paper the results of such an analysis are presented. In particular, minimal t-invariants, MCT-sets and t-clusters are calculated, their biological meaning is determined and some biological conclusions are drawn.
Rocznik
Strony
59--78
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
  • Department of Clinical Biochemistry and Laboratory Medicine, Pozna´n University of Medical Sciences, Poznań, Poland
autor
  • Institute of Computing Science, Pozna´n University of Technology, Poznań, Poland
  • Institute of Computing Science, Poznań University of Technology, Poznań, Poland
  • Institute of Bioorganic Chemistry, Polish Academy of Sciences, Poznań, Poland
Bibliografia
  • [1] Bertalanffy L., General System Theory. Foundations, Development, Applications, George Braziller, Inc., New York, 1969.
  • [2] Formanowicz D., Do changes in iron metabolism contribute to the acceleration of the atherosclerosis process?, Biotechnologia, 92, 2011, 180-192.
  • [3] Klipp E., Liebermeister W., Wierling C., Kowald A., Lehrach H., Herwig R., Systems Biology. A Textbook, Wiley-VCH, Weinheim, 2009.
  • [4] Lehrke M., Greif M., Broedl U.C., Lebherz C., Laubender R.P., Becker A., Ziegler F., Tittus J., Reiser M., Beckerm C., Gke B., Steinbeck G., Leber A.W., Parhofer K.G., MMP-1 serum levels predict coronary atherosclerosis in humans, Cardiovascular Diabetology, 8, 2009, 50.
  • [5] Murata T., Petri nets: Properties, analysis and applications, Proceedings of the IEEE, 77, 1989, 541-580.
  • [6] Petri C.A., Kommunikation mit automaten, Institut f¨ur Instrumentelle Mathematik, Bonn, 1962.
  • [7] Sackmann A., Discrete modeling, in: I. Koch., W. Reisig, F. Schreiber, (eds.) Modeling in Systems Biology. The Petri Net Approach, Springer London, 2011, 59-72.
  • [8] Sackmann A., Formanowicz D., Formanowicz P., Koch I., Błażewicz J., An analysis of the Petri net based model of the human body homeostasis process, Computational Biology and Chemistry, 31, 2007, 1-10
  • [9] Sackmann A., Heiner M., Koch I., Application of Petri net based analysis techniques to signal transduction pathway, BMC Bioinformatics, 7, 2006, 482.
  • [10] Stocker R., Keaney J.F., Jr. Role of Oxidative Modifications in Atherosclerosis. Physiol Rev, 84, 2004, 1381-1478.
  • [11] Szallasi Z., Stelling J., Periwal V., System modeling in cellular biology: From concepts to nuts and bolts, The MIT Press, Cambridge, 2006.
  • [12] Tylaska L.A., Boring L., Weng W., Aiello R., Charo I.F., Rollins B.J., Gladue R.P., CCR2 regulates the level of MCP-1/CCL2 in vitro and at inflammatory sites and controls t cell activation in response to alloantigen, Cytokine, 18, 2002, 184-190.
  • [13] Wiener N., Cybernetics or Control and Communication in the Animal and the Machine, 2nd edition, The Technology Press (MIT)/John Wiley & Sons, New York, London, 1961.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ca205c2f-f410-4adb-97c9-972ffff98154
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