Biology Reference
In-Depth Information
Petri nets are of advantage to applying the nets to simulation studies. Although an example of Condition
Event nets is described in this paper, they can be applied to higher classes of Petri nets such as Hybrid
Petri nets soundly [10]. A final goal is to reconstruct comprehensive knowledge of cellular functions into
a computer system on the basis of Petri net representation and ontology. For this goal, I have to further
investigate (1) practical transformation of existing data into a standardized formalization I propose, (2)
development of an algorithm to generate drawings of Petri net graphs, (3) specification of consistent
semantics for interrelation between signaling and metabolic pathways in cells, and (4) integration of
systematized cellular functions such as Gene Ontology [11] with biological pathways in Petri nets.
ACKNOWLEDGEMENTS
The author is grateful to Prof. Riichiro Mizoguchi (Osaka University) and anonymous referees for
insightful comments on this manuscript. The author also thanks to Prof. Hiroshi Matsuno (Yamaguchi
University) for valuable discussions.
REFERENCES
[1] Reisig, W. and Rozenberg, G. (eds.) (1998). Lectures on Petri Nets I: Basic Models. Lecture Notes in Computer Science
1491 , Springer-Verlag.
[2] Kanehisa, M., Goto, S., Kawashima, S., Okuno, Y. and Hattori, M. (2004). The KEGG resources for deciphering the
genome. Nucleic Acids Res. 32 , D277-D280.
[3]
Matsuno, H., Tanaka, Y., Aoshima, H., Doi, A., Matsui, M. and Miyano, S. (2003). Biopathways representation and
simulation on hybrid functional Petri net. In Silico Biol. 3 , 0032.
[4]
Lee, D., Zimmer, R., Lee, S., Hanisch, D. and Park, S. (2004). Knowledge representation model for systems-level analysis
of signal transduction networks. Genome Informatics 15 , 234-243.
[5]
Choi, C., Crass, T., Kel, A., Kel-Margoulis, O., Krull, M., Pistor, S., Potapov, A., Voss, N. and Wingender, E. (2004). Novel
consistent modeling of signaling pathways and its implementation in the TRANSPATH database. Genome Informatics
15 , 244-254.
[6]
Takai-Igarashi, T. and Mizoguchi, R. (2004). Ontological integration of data models for cell signaling pathways. Genome
Informatics 15 , 255-265.
[7]
Takai-Igarashi, T. and Mizoguchi, R. Ontological explication of cooperation functions of molecular complexes in signaling
pathways. Manuscript submitted.
[8]
Guarino, N. (1998). Some Ontological Principles for Designing Upper Level Lexical Resources. In: Proceedings of the
First International Conference on Language Resources and Evaluation. Granada, Spain.
[9]
Shi, Y. and Massague, J. (2003). Mechanisms of TGF- β signaling from cell membrane to the nucleus. Cell 113 , 685-700.
[10]
Matsuno, H., Doi, A., Nagasaki, M. and Miyano, S. (2000). Hybrid Petri net representation of gene regulatory network.
Pac. Symp. Biocomput. 5 , 338-349.
[11]
Harris, M. A., et al .; Gene Ontology Consortium (2004). The Gene Ontology (GO) database and informatics resource.
Nucleic Acids Res. 32 , D258-D261.
Search WWH ::




Custom Search