mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts.
mirWIP: microRNA target prediction based on microRNA-containing ribonucleoprotein-enriched transcripts.
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DOI:
10.1038/nmeth.1247
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发表时间:
2008-09
期刊:
影响因子:
48
通讯作者:
Ambros, Victor
中科院分区:
文献类型:
--
作者:
Hammell, Molly;Long, Dang;Zhang, Liang;Lee, Andrew;Carmack, C. Steven;Han, Min;Ding, Ye;Ambros, Victor
Target prediction for animal microRNAs has been hindered by the small number of verified targets available for evaluating the accuracy of predicted microRNA:target interactions. Recently, a dataset of 3404 microRNA-associated mRNA transcripts was identified by immuno-precipitation (IP) of the RNA-induced silencing complex (RISC) components, AIN-1 and AIN-2. Analysis of this dataset reveals enrichment for defining characteristics of functional microRNA target interactions, including structural accessibility of target sequences, the total free energy of microRNA:target hybridization, and the topology of base-pairing to the 5’ seed region of the microRNA. These enriched characteristics form the basis for a quantitative microRNA target prediction method, mirWIP (microRNA targets by Weighting IP dataset parameters), that optimizes sensitivity to verified microRNA:target interactions and specificity to the AIN-IP dataset. The mirWIP method can capture all of the known conserved microRNA:mRNA target relationships in C. elegans at a lower false positive rate than the current standard methods.
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