Document Detail


Knowledge representation model for systems-level analysis of signal transduction networks.
MedLine Citation:
PMID:  15706509     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Dong-Yup Lee; Ralf Zimmer; Sang-Yup Lee; Daniel Hanisch; Sunwon Park
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Genome informatics. International Conference on Genome Informatics     Volume:  15     ISSN:  0919-9454     ISO Abbreviation:  -     Publication Date:  2004  
Date Detail:
Created Date:  2005-02-11     Completed Date:  2006-01-10     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  101280573     Medline TA:  Genome Inform     Country:  Japan    
Other Details:
Languages:  eng     Pagination:  234-43     Citation Subset:  IM    
Affiliation:
Department of Chemical and Biomolecular Engineering and Bioinformatics Research Center, Korea Advanced Institute of Science and Technology, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Republic of Korea. dylee@pse.kaist.ac.kr
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MeSH Terms
Descriptor/Qualifier:
Computer Graphics*
Cytokines / pharmacology*
DNA-Binding Proteins / metabolism
Databases, Factual*
Models, Biological
Signal Transduction / drug effects*,  physiology*
Software
Systems Analysis*
Chemical
Reg. No./Substance:
0/Cytokines; 0/DNA-Binding Proteins

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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