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• W2066944164 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." @default.
• W2066944164 created "2016-06-24" @default.
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• W2066944164 date "2014-12-23" @default.
• W2066944164 modified "2023-10-01" @default.
• W2066944164 title "A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome" @default.
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• W2066944164 doi "https://doi.org/10.1155/2014/967946" @default.
• W2066944164 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4283225" @default.
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