Nucleic Acids Research Advance Access originally published online on August 15, 2007
Nucleic Acids Research 2008 36(Database issue):D184-D189; doi:10.1093/nar/gkm610
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Nucleic Acids Research, 2008, Vol. 36, Database issue D184-D189
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]
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Vir-Mir db: prediction of viral microRNA candidate hairpins
1Institute of BioMedical Informatics, National Yang-Ming University, Taipei 112 and 2Institute of Biomedical Sciences, Academia Sinica, Taipei 115, Taiwan, Republic of China
*To whom correspondence should be addressed. Tel: +886226523967; Fax: 886227827654; Email: wenlin{at}ibms.sinica.edu.tw
Received June 15, 2007. Revised July 17, 2007. Accepted July 26, 2007.
MicroRNAs have been found in various organisms and play essential roles in gene expression regulation of many critical cellular processes. Large-scale computational prediction of miRNAs has been conducted for many organisms using known genomic sequences; however, there has been no such effort for the thousands of known viral genomes. Some viruses utilize existing host cellular pathways for their own benefit. Furthermore, viruses are capable of encoding miRNAs and using them to repress host genes. Thus, identifying potential miRNAs in all viral genomes would be valuable to virologists who study virus–host interactions. Based on our previously reported hairpin secondary structure and feature selection filters, we have examined the 2266 available viral genome sequences for putative miRNA hairpins and identified 33 691 hairpin candidates in 1491 genomes. Evaluation of the system performance indicated that our discovery pipeline exhibited 84.4% sensitivity. We established an interface for users to query the predicted viral miRNA hairpins based on taxonomic classification, and a host target gene prediction service based on the RNAhybrid program and the 3'-UTR gene sequences of human, mouse, rat, zebrafish, rice and Arabidopsis. The viral miRNA prediction database (Vir-Mir) can be accessed via http://alk.ibms.sinica.edu.tw.
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