Abstract
This contribution aims at the development of a modular and object-oriented framework for the modeling of the entity of all metabolic reactions including their regulations as a collection of interacting subsystems. The purposes of this framework lie in facilitating model development, adaption and reuse. Additionally, the presented methodology can be seen as a first step towards the development of a common communication framework, to support the interdisciplinary research in biotechnology and biochemical engineering. For the development of this framework ideas from general system theory, object-oriented programming and knowledge representation are employed.
Preview
Unable to display preview. Download preview PDF.
References
R. Bogusch and W. Marquardt. A Formal Representation of Process Model Equationa. Suppl. to Comput. Chem. Engng., 19:211–216, 1995.
G. Breuel, E. D. Gilles, and A. Kremling. A systematic approach to structured biological models. In A. Munak and K. Schügerl, editors, 6 th Int. Conference on Comput. Appl. in Biotechn., May 14–17, pages 199–204, Garmisch, Germany, 1995. DECHEMA.
G. Breuel, A. Kremling, and E. D. Gilles. An object-oriented approach to the modeling of bacterial metabolism. SAMS, 18–19:813–817, 1995.
M. Bunge. Treatise on Basic Philosophy. Vol 3: Ontology II: A world of systems. D. Reidel Comp., Dordrecht, Holland, 1979.
J. Collado-Vides. A Syntactic Representation of Units of Genetic Information — A Syntax of Units of Genetic Information. J. theor. Biol., 148:401–429, 1991.
P. Fu and J.P. Barford. An artificial intelligence framework of generic cell modeling. In A. Munak and K. Schügerl, editors, 6 th Int. Conference on Comput. Appl. in Biotechn., May 14–17, pages 353–356, Garmisch, Germany, 1995. DECHEMA.
T. Gaasterland and E. Selkov. Reconstruction of metabolic networks using incomplete information. In 3 th Int. Conference on intelligent systems for molecular biology, July 1995, Cambridge, England, 1995.
A. Gerstlauer, M. Hierlemann, and W. Marquardt. On the representation of balance equations in a knowledge-based process modeling tool. In 11 th Int. Congress of Chemical Engineering, Chemical Equipment Design and Automation, CHISA '93, 29 August–3 September, paper no. D5.3, Praha, Czech Republic, 1993.
R. Hofestädt. A simulation shell to model metabolic pathways. J. Syst. Analysis Modeling Simulation, 11:253–262, 1993.
R. Hofestädt and F. Meineke. Metabolica — A Rule Based System to Model Metabolic Processes. In T. Smith, editor, International Symposium and Workshop: MacroMolecules, Genes, and Computers, Waterville Valley, Boston, 1993. MIT/AAAI Press.
R. Hofestädt and F. Meineke. Interactive Modeling and Simulation of Biochemical Networks. Comput. Bio. Med., 25(3):321–334, 1995.
P. Karp and S. Paley. Representations of metabolic knowledge: Pathways. In R. Altman, D. Brutlag, P. Karp, R. Lathrop, and D. Searls, editors, Proceedings of the First International Conference on Intelligent Systems for Molecular Biology, Menlo Park, CA, 1994. AAAI Press.
P. Karp and M. Riley. Representations of metabolic knowledge. In Proceedings of First International Conference on Intelligent Systems for Molecular Biology, pages 207–215. Morgan Kaufman Publishers, Bethesda, MD, 1993.
P. Karp, M. Riley, S. Paley, and A. Pellegrini-Toole. EcoCyc: Electronic Encyclopedia of E. coli Genes and Metabolism. Nucleic Acid Research, 24(1):32–40, 1996.
G.J. Klir. Architecture of Systems Problem Solving. Plenum Press, New York, 1985.
B. T. Koh and M. G. S. Yap. A simple genetically structured model of trp repressor-operator interactions. Biotechn. and Bioengineering, 41:707–714, 1993.
A. Kröner, P. Holl, W. Marquardt, and E.D. Gilles. DIVA—An Open Architecture for Dynamic Simulation. Comput. Chem. Engng., 14:1289–1295, 1990.
H.H MacAdams and L. Shapiro. Circuit simulation of genetic networks. SIENCE, 296:253–262, 1995.
W. Marquardt. Trends in computer-aided process modeling. In Proc. of the 5 th intl. Symp. on Process Systems Engineering, PSE 1994, May 30–June 3, pages 1–24, Kyongju, Korea, 1994.
W. Mavrovouniotis. Duality theory for thermodynamic bottlenecks in bioreaction pathways. Chem. Eng. Science, 5(9):1495–1507, 1996.
C.C. Pantelides. SPEEDUP: Recent Advances in Process Engineering. Comput. Chem. Engn., 12:745–755, 1988.
D. Ramkrishna. The status of population balances. Chem. Eng. Comm., 3:49–95, 1985.
R. Rand and D. Armbruster. Pertubation Methods, Bifurcation Theory and Computer Algebra. Springer, New York, 1987.
M. A. Savageau.A kinetic formalism for integrative molecular biology.In B. Magasanik J. Collado and T. Smith, editors, Integrative Approaches to Molecular Biology. MIT Press, 1996.
L.A. Segel and M. Shemrod. The quasi steady-state assumption: A case study in pertubation. SIAM Review, 31(3):446–477, 1989.
G. Stephanopoulos, G. Henning, and H. Leone. MODEL.LA: A modeling langugage for process engineering. Part I: The formal framework. Part II: Multi-facetted modeling of processing systems. Comput. Chem. Engn., 14:813–869, 1990.
H. J. Stoffers, E. L. L. Sonnhammer, G. J. F. Blommestijn, N. J. H. Raat, and H. V. Westerhoff. METASIM: Object-oriented modeling of cell regulation. Comput. Appl. in the Biosciences, 8:443–449, 1992.
G. Subramanian and Ramkrishna. On the solution of statistical models of cell populations. Math. Biosci., 10:1–23, 1971.
F. Tränkle, G. Gerstlauer, M. Zeitz, and E.D. Gilles. Application of the Modeling and Simulation Environment PROMOT/DIVA to the Modeling of Distillation Processes. accepted for PSE'97, ESCAPE-7 Trondheim, Norway, May 26–29, 1997.
F. Tränkle, G. Gerstlauer, M. Zeitz, and E.D. Gilles. PROMOT/DIVA: A Prototye of a Process Modeling and Simulation Environment. accepted for 2 nd MATH-MOD Vienna, Austria, Feb. 5–7,1997.
S. Wolfram. Mathematica — A System for Doting Mathematics by Computer. Addison Wesley, 2nd edition, 1991.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Breuel, G., Gilles, E.D. (1997). Towards an object-oriented framework for the modeling of integrated metabolic processes. In: Hofestädt, R., Lengauer, T., Löffler, M., Schomburg, D. (eds) Bioinformatics. GCB 1996. Lecture Notes in Computer Science, vol 1278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033207
Download citation
DOI: https://doi.org/10.1007/BFb0033207
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63370-9
Online ISBN: 978-3-540-69524-0
eBook Packages: Springer Book Archive