» Articles » PMID: 16845047

RNAhybrid: MicroRNA Target Prediction Easy, Fast and Flexible

Overview
Specialty Biochemistry
Date 2006 Jul 18
PMID 16845047
Citations 948
Authors
Affiliations
Soon will be listed here.
Abstract

In the elucidation of the microRNA regulatory network, knowledge of potential targets is of highest importance. Among existing target prediction methods, RNAhybrid [M. Rehmsmeier, P. Steffen, M. Höchsmann and R. Giegerich (2004) RNA, 10, 1507-1517] is unique in offering a flexible online prediction. Recently, some useful features have been added, among these the possibility to disallow G:U base pairs in the seed region, and a seed-match speed-up, which accelerates the program by a factor of 8. In addition, the program can now be used as a webservice for remote calls from user-implemented programs. We demonstrate RNAhybrid's flexibility with the prediction of a non-canonical target site for Caenorhabditis elegans miR-241 in the 3'-untranslated region of lin-39. RNAhybrid is available at http://bibiserv.techfak.uni-bielefeld.de/rnahybrid.

Citing Articles

Unveiling Novel miRNA-mRNA Interactions and Their Prognostic Roles in Triple-Negative Breast Cancer: Insights into miR-210, miR-183, miR-21, and miR-181b.

Xu J, Cai X, Huang J, Huang H, Wang Y, Ji X Int J Mol Sci. 2025; 26(5).

PMID: 40076546 PMC: 11899986. DOI: 10.3390/ijms26051916.


Study on the Regulatory Mechanisms of Carapace Marking Formation in .

Wang P, Zhu J, Chen H, Hu Q, Chen Z, Li W Animals (Basel). 2025; 15(5).

PMID: 40076010 PMC: 11899420. DOI: 10.3390/ani15050727.


Characterization of microRNA candidates at the primary site of infectious bronchitis virus infection: A comparative study of in vitro and in vivo avian models.

ODowd K, Vatandour S, Ahamed S, Boulianne M, Dozois C, Gagnon C PLoS One. 2025; 20(3):e0319153.

PMID: 40067877 PMC: 11896067. DOI: 10.1371/journal.pone.0319153.


Developmental Expression Patterns of miRNA in Walker (Lepidotera: Noctuidae).

Liu Y, Tian H, Ren S, Chen X, Luo K, Li G Genes (Basel). 2025; 16(2).

PMID: 40004562 PMC: 11855462. DOI: 10.3390/genes16020234.


Circular RNAs in neurological conditions - computational identification, functional validation, and potential clinical applications.

Hatzimanolis O, Sykes A, Cristino A Mol Psychiatry. 2025; .

PMID: 39966624 DOI: 10.1038/s41380-025-02925-1.


References
1.
Lewis B, Shih I, Jones-Rhoades M, Bartel D, Burge C . Prediction of mammalian microRNA targets. Cell. 2003; 115(7):787-98. DOI: 10.1016/s0092-8674(03)01018-3. View

2.
Rhoades M, Reinhart B, Lim L, Burge C, Bartel B, Bartel D . Prediction of plant microRNA targets. Cell. 2002; 110(4):513-20. DOI: 10.1016/s0092-8674(02)00863-2. View

3.
Rajewsky N, Socci N . Computational identification of microRNA targets. Dev Biol. 2004; 267(2):529-35. DOI: 10.1016/j.ydbio.2003.12.003. View

4.
Stark A, Brennecke J, Russell R, Cohen S . Identification of Drosophila MicroRNA targets. PLoS Biol. 2003; 1(3):E60. PMC: 270017. DOI: 10.1371/journal.pbio.0000060. View

5.
Kiriakidou M, Nelson P, Kouranov A, Fitziev P, Bouyioukos C, Mourelatos Z . A combined computational-experimental approach predicts human microRNA targets. Genes Dev. 2004; 18(10):1165-78. PMC: 415641. DOI: 10.1101/gad.1184704. View