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

Autor: Hasan MM; Institute of Biomedical Studies, Baylor University, Waco, TX 76706, USA., Akter R; BioMedNanoTech, Inc., 500 South University Avenue Suite 319, Little Rock, AR 72205, USA., Ullah MS; Biotechnology and Genetic Engineering Discipline, Khulna University, Khulna 9208, Bangladesh., Abedin MJ; Civil Engineering Department, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh., Ullah GM; Environment Science Discipline, Khulna University, Khulna 9208, Bangladesh., Hossain MZ; BioMedNanoTech, Inc., 500 South University Avenue Suite 319, Little Rock, AR 72205, USA.
Jazyk: angličtina
Zdroj: Advances in bioinformatics [Adv Bioinformatics] 2014; Vol. 2014, pp. 967946. Date of Electronic Publication: 2014 Dec 23.
DOI: 10.1155/2014/967946
Abstrakt: 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.
Databáze: MEDLINE