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Limitations of Using Mass Action Kinetics Method in Modeling Biochemical Systems: Illustration for a Second Order Reaction

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Computational Science and Its Applications - ICCSA 2011 (ICCSA 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6786))

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Abstract

Mathematical models for solving the nonlinear interactions in biological systems are a major component of computational systems biology. Deterministic method that is generally employed in these models assumes that the number of molecules in the well mixed reaction medium is large. When these assumptions are not valid, the system is stochastic. In deterministic methods, mass action kinetics terms are usually included. Herein, we illustrate that the results of deterministic mass action kinetics methods do not necessarily represent the average behavior of stochastic systems with a simple example of second order reaction.

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References

  1. Ozbudak, E.M., Thattai, M., Lim, H.N., Shraiman, B.I., van Oudenaarden, A.: Multistability in the Lactose Utilization Network of Escherichia coli. Nature 427, 737–740 (2004)

    Article  Google Scholar 

  2. Hasty, J., McMillan, D., Isaacs, F., Collins, J.J.: Computational Studies of Gene Regulatory Networks: In Numero Molecular Biology. Nature Rev. Genetics 2, 268–279 (2001)

    Article  Google Scholar 

  3. Bray, D., Levin, M.D., Morton-Firth, C.J.: Receptor Clustering as a Cellular Mechanism to Control Sensitivity. Nature 393, 85–88 (1998)

    Article  Google Scholar 

  4. Barkai, N., Liebler, S.: Robustness in Simple Biochemical Networks. Nature 387, 913–917 (1997)

    Article  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Sayikli, C., Bagci, E.Z. (2011). Limitations of Using Mass Action Kinetics Method in Modeling Biochemical Systems: Illustration for a Second Order Reaction. In: Murgante, B., Gervasi, O., Iglesias, A., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications - ICCSA 2011. ICCSA 2011. Lecture Notes in Computer Science, vol 6786. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21934-4_42

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  • DOI: https://doi.org/10.1007/978-3-642-21934-4_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21933-7

  • Online ISBN: 978-3-642-21934-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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