EECS 458 Introduction to Computational Biology

  • For the course project, I  studied  biological pathway modeling and made a literature  survey on  the deterministic frameworks used for modeling and simulating the metabolic and signaling pathways.

 

  • You can find  my  term paper  presentation  here

  • You can  download my term paper  here
   
  • The papers referenced in my paper:

    • Savageau, M.A.: Biochemical systems analysis, I. Some mathematical properties of the rate law for component enzymatic reactions. J. Theor. Biol. 25, 365-9, 1969

    • Savageau, M.A.: Biochemical systems analysis, II. The steady-state solutions for an n-pool system using a power-law approximation. J. Theor. Biol. 25, 370-9, 1969

    • Savageau, M.A.: Biochemical systems analysis, III. Dynamic solutions using a power law approximation. J. Theor. Biol. 26, 215-26, 1970

    • Curto, R., E.O. Voit, A. Sorribas, and M.Cascante: Mathematical models of purine metabolism in man. Math. Biosci. 151, 1-49, 1998   [pdf]

    • O. Wolkenhauer, H. Kitano, and K.-H. Cho: Systems Biology: Looking at opportunities and challenges in applying systems theory to molecular and cell biology. IEEE Control Systems Magazine, vol. 23, no. 4, pp. 38-48, August 2003

    • Michaelis, L. and M.L. Menten: Die Kinetik  der Invertinkung. Biochem. Zeitschrift 49, 333-69, 1913

    • Savageau, M.A.: Biochemical Systems Theory: Operational differences among variant representations and their significance. J. Theor. Biol. 151, 509-30, 1991


    • O. Wolkenhauer, M. Ullah, W. Kolch, and K.-H. Cho: Modeling and simulation of intracellular dynamics: Choosing an appropriate framework. Accepted for publication in IEEE Trans. on NanoBioscience, 2004   [pdf]