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rdf:type |
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lifeskim:mentions |
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pubmed:dateCreated |
2009-12-16
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pubmed:abstractText |
Genome sequencing projects generate massive amounts of sequence data but there are still many proteins whose functions remain unknown. The availability of large scale protein-protein interaction data sets makes it possible to develop new function prediction methods based on protein-protein interaction (PPI) networks. Although several existing methods combine multiple information resources, there is no study that integrates protein domain information and PPI networks to predict protein functions.
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pubmed:commentsCorrections |
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http://linkedlifedata.com/resource/pubmed/commentcorrection/19954509-9223186
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:issn |
1471-2105
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pubmed:author |
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pubmed:issnType |
Electronic
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pubmed:volume |
10
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
395
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pubmed:dateRevised |
2010-9-28
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pubmed:meshHeading |
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pubmed:year |
2009
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pubmed:articleTitle |
Inferring protein function by domain context similarities in protein-protein interaction networks.
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pubmed:affiliation |
MOE Key Laboratory of Bioinformatics, Department of Biological Sciences and Biotechnology, Tsinghua University, Beijing, PR China. zhangsong04@mails.tsinghua.edu.cn
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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