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A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome.

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.

SUBMITTER: Hasan MM

PROVIDER: S-EPMC4283225 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome.

Hasan Md Mahmudul MM Akter Rozina R Ullah Md Shahin MS Abedin Md Jaynul MJ Ullah G M Ahsan GM Hossain Md Zakir MZ

Advances in bioinformatics 20141223

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 ...[more]

PMID: 25610462

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