A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome
description: 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.
creator: Md. Zakir Hossain, Rozina Akter, Md Mahmudul Hasan, Md. Shahin Ullah, Md. Jaynul Abedin, G. M. Ahsan Ullah
source: Advances in Bioinformatics
publisher: Hindawi Limited
date: 2014
identifier: DOI: 10.1155/2014/967946
coverage: Biology (General), Statistics