Source:http://linkedlifedata.com/resource/pubmed/id/17057751
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
11
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pubmed:dateCreated |
2006-10-23
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pubmed:abstractText |
Systems biology, particularly of mammalian cells, is data starved. However, technologies are now in place to obtain rich data, in a form suitable for model construction and validation, that describes the activities, states and locations of cell-signalling molecules. The key is to use several measurement technologies simultaneously and, recognizing each of their limits, to assemble a self-consistent compendium of systematic data.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Nov
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pubmed:issn |
1471-0072
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pubmed:author | |
pubmed:issnType |
Print
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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 |
803-12
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pubmed:meshHeading |
pubmed-meshheading:17057751-Animals,
pubmed-meshheading:17057751-Cluster Analysis,
pubmed-meshheading:17057751-Computational Biology,
pubmed-meshheading:17057751-Databases, Protein,
pubmed-meshheading:17057751-Gene Expression Regulation,
pubmed-meshheading:17057751-Humans,
pubmed-meshheading:17057751-Immunoassay,
pubmed-meshheading:17057751-Models, Biological,
pubmed-meshheading:17057751-Protein Processing, Post-Translational
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pubmed:year |
2006
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pubmed:articleTitle |
Collecting and organizing systematic sets of protein data.
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pubmed:affiliation |
Center for Cell Decision Processes, Department of Biological Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA.
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pubmed:publicationType |
Journal Article,
Review,
Research Support, N.I.H., Extramural
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