Presentation 2002/5/17
Signal Transduction and Hypothetical Reasoning application in bioinformatics
Ken-ichiro FUKUDA,
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Abstract(in English) Interplay of Signal Transduction Pathways is a key to prove an integrated response to total signal inputs to the cell. However, formal methods to put distinct pathways into a single biologically valid context are unknown. As a result, our knowledge remains to be a huge archive of small fragmented pathways. To overcome this situation, an intelligent system that stores information about every pathway reported in articles and provides functions to infer possible pathways that satisfy a certain set of constraints, such as observations of biological experiments, is required. This report introduces a prototype system based on the hypothetical reasoning framework that infers possible explanations of cross-talk pathways.
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Keyword(in English) signal transduction pathway / knowledge representation / hypothetical reasoning / deductive database
Paper # AI2002-11
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Committee AI
Conference Date 2002/5/17(1days)
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Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Signal Transduction and Hypothetical Reasoning application in bioinformatics
Sub Title (in English)
Keyword(1) signal transduction pathway
Keyword(2) knowledge representation
Keyword(3) hypothetical reasoning
Keyword(4) deductive database
1st Author's Name Ken-ichiro FUKUDA
1st Author's Affiliation Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST)()
Date 2002/5/17
Paper # AI2002-11
Volume (vol) vol.102
Number (no) 91
Page pp.pp.-
#Pages 6
Date of Issue