A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome.
Identifieur interne : 001A21 ( PubMed/Checkpoint ); précédent : 001A20; suivant : 001A22A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome.
Auteurs : Md Mahmudul Hasan [États-Unis] ; Rozina Akter [États-Unis] ; Md Shahin Ullah [Bangladesh] ; Md Jaynul Abedin [Bangladesh] ; G M Ahsan Ullah [Bangladesh] ; Md Zakir Hossain [États-Unis]Source :
- Advances in bioinformatics [ 1687-8027 ] ; 2014.
Abstract
The new epidemic Middle East Respiratory Syndrome (MERS) is caused by a type of human coronavirus called MERS-CoV which has global fatality rate of about 30%. We are investigating potential antiviral therapeutics against MERS-CoV by using host microRNAs (miRNAs) which may downregulate viral gene expression to quell viral replication. We computationally predicted potential 13 cellular miRNAs from 11 potential hairpin sequences of MERS-CoV genome. Our study provided an interesting hypothesis that those miRNAs, that is, hsa-miR-628-5p, hsa-miR-6804-3p, hsa-miR-4289, hsa-miR-208a-3p, hsa-miR-510-3p, hsa-miR-18a-3p, hsa-miR-329-3p, hsa-miR-548ax, hsa-miR-3934-5p, hsa-miR-4474-5p, hsa-miR-7974, hsa-miR-6865-5p, and hsa-miR-342-3p, would be antiviral therapeutics against MERS-CoV infection.
DOI: 10.1155/2014/967946
PubMed: 25610462
Affiliations:
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pubmed:25610462Le document en format XML
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<front><div type="abstract" xml:lang="en">The new epidemic Middle East Respiratory Syndrome (MERS) is caused by a type of human coronavirus called MERS-CoV which has global fatality rate of about 30%. We are investigating potential antiviral therapeutics against MERS-CoV by using host microRNAs (miRNAs) which may downregulate viral gene expression to quell viral replication. We computationally predicted potential 13 cellular miRNAs from 11 potential hairpin sequences of MERS-CoV genome. Our study provided an interesting hypothesis that those miRNAs, that is, hsa-miR-628-5p, hsa-miR-6804-3p, hsa-miR-4289, hsa-miR-208a-3p, hsa-miR-510-3p, hsa-miR-18a-3p, hsa-miR-329-3p, hsa-miR-548ax, hsa-miR-3934-5p, hsa-miR-4474-5p, hsa-miR-7974, hsa-miR-6865-5p, and hsa-miR-342-3p, would be antiviral therapeutics against MERS-CoV infection. </div>
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<Abstract><AbstractText>The new epidemic Middle East Respiratory Syndrome (MERS) is caused by a type of human coronavirus called MERS-CoV which has global fatality rate of about 30%. We are investigating potential antiviral therapeutics against MERS-CoV by using host microRNAs (miRNAs) which may downregulate viral gene expression to quell viral replication. We computationally predicted potential 13 cellular miRNAs from 11 potential hairpin sequences of MERS-CoV genome. Our study provided an interesting hypothesis that those miRNAs, that is, hsa-miR-628-5p, hsa-miR-6804-3p, hsa-miR-4289, hsa-miR-208a-3p, hsa-miR-510-3p, hsa-miR-18a-3p, hsa-miR-329-3p, hsa-miR-548ax, hsa-miR-3934-5p, hsa-miR-4474-5p, hsa-miR-7974, hsa-miR-6865-5p, and hsa-miR-342-3p, would be antiviral therapeutics against MERS-CoV infection. </AbstractText>
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<name sortKey="Abedin, Md Jaynul" sort="Abedin, Md Jaynul" uniqKey="Abedin M" first="Md Jaynul" last="Abedin">Md Jaynul Abedin</name>
<name sortKey="Ullah, G M Ahsan" sort="Ullah, G M Ahsan" uniqKey="Ullah G" first="G M Ahsan" last="Ullah">G M Ahsan Ullah</name>
</country>
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</affiliations>
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