Source:http://linkedlifedata.com/resource/pubmed/id/20491069
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
5
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pubmed:dateCreated |
2010-5-25
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pubmed:abstractText |
Fault diagnosis engineering is a key component of modern industrial facilities and complex systems, and has gone through considerable developments in the past few decades. In this paper, the principles and concepts of molecular fault diagnosis engineering are reviewed. In this area, molecular intracellular networks are considered as complex systems that may fail to function, due to the presence of some faulty molecules. Dysfunction of the system due to the presence of a single or multiple molecules can ultimately lead to the transition from the normal state to the disease state. It is the goal of molecular fault diagnosis engineering to identify the critical components of molecular networks, i.e., those whose dysfunction can interrupt the function of the entire network. The results of the fault analysis of several signaling networks are discussed, and possible connections of the findings with some complex human diseases are examined. Implications of molecular fault diagnosis engineering for target discovery and drug development are outlined as well.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
May
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pubmed:issn |
1612-1880
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pubmed:author | |
pubmed:issnType |
Electronic
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pubmed:volume |
7
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1111-23
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pubmed:meshHeading |
pubmed-meshheading:20491069-Caspase 3,
pubmed-meshheading:20491069-Cyclic AMP Response Element-Binding Protein,
pubmed-meshheading:20491069-Drug Discovery,
pubmed-meshheading:20491069-Humans,
pubmed-meshheading:20491069-Metabolic Networks and Pathways,
pubmed-meshheading:20491069-Neural Networks (Computer),
pubmed-meshheading:20491069-Signal Transduction,
pubmed-meshheading:20491069-Systems Biology,
pubmed-meshheading:20491069-Tumor Suppressor Protein p53
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pubmed:year |
2010
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pubmed:articleTitle |
Fault diagnosis engineering in molecular signaling networks: an overview and applications in target discovery.
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pubmed:affiliation |
Center for Wireless Communications and Signal Processing Research, Department of Electrical and Computer Engineering & Department of Biological Sciences, New Jersey Institute of Technology, 323 King Blvd, Newark, NJ 07102, USA. ali.abdi@njit.edu
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pubmed:publicationType |
Journal Article,
Review
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