Source:http://linkedlifedata.com/resource/pubmed/id/21106131
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:dateCreated |
2010-11-25
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| pubmed:abstractText |
Understanding cellular systems requires the knowledge of a protein's subcellular localization (SCL). Although experimental and predicted data for protein SCL are archived in various databases, SCL prediction remains a non-trivial problem in genome annotation. Current SCL prediction tools use amino-acid sequence features and text mining approaches. A comprehensive analysis of protein SCL in human PPI and metabolic networks for various subcellular compartments is necessary for developing a robust SCL prediction methodology.
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| pubmed:language |
eng
|
| pubmed:journal | |
| pubmed:citationSubset |
IM
|
| pubmed:chemical | |
| pubmed:status |
MEDLINE
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| pubmed:issn |
1471-2105
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| pubmed:author | |
| pubmed:issnType |
Electronic
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| pubmed:volume |
11 Suppl 7
|
| pubmed:owner |
NLM
|
| pubmed:authorsComplete |
Y
|
| pubmed:pagination |
S9
|
| pubmed:meshHeading |
pubmed-meshheading:21106131-Amino Acid Sequence,
pubmed-meshheading:21106131-Cells,
pubmed-meshheading:21106131-Computational Biology,
pubmed-meshheading:21106131-Databases, Genetic,
pubmed-meshheading:21106131-Humans,
pubmed-meshheading:21106131-Intracellular Space,
pubmed-meshheading:21106131-Metabolic Networks and Pathways,
pubmed-meshheading:21106131-Molecular Sequence Annotation,
pubmed-meshheading:21106131-Proteins
|
| pubmed:year |
2010
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| pubmed:articleTitle |
Network analysis of human protein location.
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| pubmed:affiliation |
ARC Centre of Excellence in Bioinformatics and Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney NSW, Australia. gaurav.kumar@mq.edu.au
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| pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|