| pubmed-article:19160516 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:19160516 | lifeskim:mentions | umls-concept:C1101610 | lld:lifeskim |
| pubmed-article:19160516 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
| pubmed-article:19160516 | lifeskim:mentions | umls-concept:C1705938 | lld:lifeskim |
| pubmed-article:19160516 | lifeskim:mentions | umls-concept:C1519595 | lld:lifeskim |
| pubmed-article:19160516 | lifeskim:mentions | umls-concept:C1521840 | lld:lifeskim |
| pubmed-article:19160516 | lifeskim:mentions | umls-concept:C1527178 | lld:lifeskim |
| pubmed-article:19160516 | pubmed:issue | 9 | lld:pubmed |
| pubmed-article:19160516 | pubmed:dateCreated | 2009-1-22 | lld:pubmed |
| pubmed-article:19160516 | pubmed:abstractText | Target prediction for animal microRNAs (miRNAs) has been hindered by the small number of verified targets available to evaluate the accuracy of predicted miRNA-target interactions. Recently, a dataset of 3,404 miRNA-associated mRNA transcripts was identified by immunoprecipitation of the RNA-induced silencing complex components AIN-1 and AIN-2. Our analysis of this AIN-IP dataset revealed enrichment for defining characteristics of functional miRNA-target interactions, including structural accessibility of target sequences, total free energy of miRNA-target hybridization and topology of base-pairing to the 5' seed region of the miRNA. We used these enriched characteristics as the basis for a quantitative miRNA target prediction method, miRNA targets by weighting immunoprecipitation-enriched parameters (mirWIP), which optimizes sensitivity to verified miRNA-target interactions and specificity to the AIN-IP dataset. MirWIP can be used to capture all known conserved miRNA-mRNA target relationships in Caenorhabditis elegans at a lower false-positive rate than can the current standard methods. | lld:pubmed |
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| pubmed-article:19160516 | pubmed:language | eng | lld:pubmed |
| pubmed-article:19160516 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:19160516 | pubmed:citationSubset | IM | lld:pubmed |
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| pubmed-article:19160516 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:19160516 | pubmed:month | Sep | lld:pubmed |
| pubmed-article:19160516 | pubmed:issn | 1548-7091 | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:FordF CFC | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:MeiJ LJL | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:ZhangLiangL | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:AmbrosVictorV | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:LeeAndrewA | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:CarmackC... | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:LongDangD | lld:pubmed |
| pubmed-article:19160516 | pubmed:author | pubmed-author:HammellMollyM | lld:pubmed |
| pubmed-article:19160516 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:19160516 | pubmed:volume | 5 | lld:pubmed |
| pubmed-article:19160516 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:19160516 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:19160516 | pubmed:pagination | 813-9 | lld:pubmed |
| pubmed-article:19160516 | pubmed:dateRevised | 2011-7-28 | lld:pubmed |
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| pubmed-article:19160516 | pubmed:meshHeading | pubmed-meshheading:19160516... | lld:pubmed |
| pubmed-article:19160516 | pubmed:year | 2008 | lld:pubmed |
| pubmed-article:19160516 | pubmed:articleTitle | mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts. | lld:pubmed |
| pubmed-article:19160516 | pubmed:affiliation | Program in Molecular Medicine, University of Massachusetts Medical School, 373 Plantation Street, Suite 306, Worcester, Massachusetts 01605, USA. | lld:pubmed |
| pubmed-article:19160516 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:19160516 | pubmed:publicationType | Research Support, U.S. Gov't, Non-P.H.S. | lld:pubmed |
| pubmed-article:19160516 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| pubmed-article:19160516 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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