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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Engineering and Technology, Dhaka 1000, Bangladesh.</nlm:affiliation><country xml:lang="fr">Bangladesh</country><wicri:regionArea>Civil Engineering Department, Bangladesh University of Engineering and Technology, Dhaka 1000</wicri:regionArea><wicri:noRegion>Dhaka 1000</wicri:noRegion></affiliation></author><author><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><affiliation wicri:level="1"><nlm:affiliation>Environment Science Discipline, Khulna University, Khulna 9208, Bangladesh.</nlm:affiliation><country xml:lang="fr">Bangladesh</country><wicri:regionArea>Environment Science Discipline, Khulna University, Khulna 9208</wicri:regionArea><wicri:noRegion>Khulna 9208</wicri:noRegion></affiliation></author><author><name sortKey="Hossain, Md Zakir" sort="Hossain, Md Zakir" uniqKey="Hossain M" first="Md Zakir" last="Hossain">Md Zakir Hossain</name><affiliation wicri:level="2"><nlm:affiliation>BioMedNanoTech, Inc., 500 South University Avenue Suite 319, Little Rock, AR 72205, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>BioMedNanoTech, Inc., 500 South University Avenue Suite 319, Little Rock, AR 72205</wicri:regionArea><placeName><region type="state">Arkansas</region></placeName></affiliation></author></analytic><series><title level="j">Advances in bioinformatics</title><idno type="ISSN">1687-8027</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><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></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">25610462</PMID><DateCompleted><Year>2015</Year><Month>01</Month><Day>22</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">1687-8027</ISSN><JournalIssue CitedMedium="Print"><Volume>2014</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>Advances in bioinformatics</Title><ISOAbbreviation>Adv Bioinformatics</ISOAbbreviation></Journal><ArticleTitle>A Computational Approach for Predicting Role of Human MicroRNAs in MERS-CoV Genome.</ArticleTitle><Pagination><MedlinePgn>967946</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1155/2014/967946</ELocationID><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></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hasan</LastName><ForeName>Md Mahmudul</ForeName><Initials>MM</Initials><AffiliationInfo><Affiliation>Institute of Biomedical Studies, Baylor University, Waco, TX 76706, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Akter</LastName><ForeName>Rozina</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>BioMedNanoTech, Inc., 500 South University Avenue Suite 319, Little Rock, AR 72205, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ullah</LastName><ForeName>Md Shahin</ForeName><Initials>MS</Initials><AffiliationInfo><Affiliation>Biotechnology and Genetic Engineering Discipline, Khulna University, Khulna 9208, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Abedin</LastName><ForeName>Md Jaynul</ForeName><Initials>MJ</Initials><AffiliationInfo><Affiliation>Civil Engineering Department, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ullah</LastName><ForeName>G M Ahsan</ForeName><Initials>GM</Initials><AffiliationInfo><Affiliation>Environment Science Discipline, Khulna University, Khulna 9208, Bangladesh.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hossain</LastName><ForeName>Md Zakir</ForeName><Initials>MZ</Initials><Identifier Source="ORCID">0000-0003-3679-612X</Identifier><AffiliationInfo><Affiliation>BioMedNanoTech, Inc., 500 South University Avenue Suite 319, Little Rock, AR 72205, 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