@article {bioinflmu-536,
	title = {{Knowledge representation model for systems-level analysis of signal transduction networks}},
	journal = {Genome Inform Ser Workshop Genome Inform},
	volume = {15},
	number = {2},
	year = {2004},
	pages = {234-243},
	abstract = {A Petri-net based model for knowledge representation has been

developed to describe as explicitly and formally as possible the molecular

mechanisms of cell signaling and their pathological implications. A conceptual

framework has been established for reconstructing and analyzing signal

transduction networks on the basis of the formal representation. Such a

conceptual framework renders it possible to qualitatively understand the cell

signaling behavior at systems-level. The mechanisms of the complex signaling

network are explored by applying the established framework to the signal

transduction induced by potent proinflammatory cytokines, IL-1beta and TNF-alpha

The corresponding expert-knowledge network is constructed to evaluate its

mechanisms in detail. This strategy should be useful in drug target discovery and

its validation.},
	doi = {10.1.1.80.7078},
	pdf = {<a href="/files/oldwebfm//Publications/Knowledge_Representation_Model.pdf">PDF</a>},
	author = {Dong-Yup Lee and Ralf Zimmer and Sang-Yup Lee}
}