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dc.contributor.authorDemirci, Yilmaz Mehmet
dc.contributor.authorDemirci, Muserref Duygu Sacar
dc.date.accessioned2021-12-07T07:09:16Z
dc.date.available2021-12-07T07:09:16Z
dc.date.issued2021en_US
dc.identifier.issn1613-4516
dc.identifier.urihttps //doi.org/10.1515/jib-2020-0047
dc.identifier.urihttps://hdl.handle.net/20.500.12573/1067
dc.descriptionThis work was supported by the Scientific and Technological Research Council of Turkey (TUBITAK, Grant No: 120E042).en_US
dc.description.abstractDifferent types of noncoding RNAs like microRNAs (miRNAs) and circular RNAs (circRNAs) have been shown to take part in various cellular processes including post-transcriptional gene regulation during infection. MiRNAs are expressed by more than 200 organisms ranging from viruses to higher eukaryotes. Since miRNAs seem to be involved in host-pathogen interactions, many studies attempted to identify whether human miRNAs could target severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) mRNAs as an antiviral defence mechanism. In this work, a machine learning based miRNA analysis work flow was developed to predict differential expression patterns of human miRNAs during SARS-CoV-2 infection. In order to obtain the graphical representation of miRNA hairpins, 36 features were defined based on the secondary structures. Moreover, potential targeting interactions between human circRNAs and miRNAs as well as human miRNAs and viral mRNAs were investigated.en_US
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) 120E042en_US
dc.language.isoengen_US
dc.publisherWALTER DE GRUYTER GMBHGENTHINER STRASSE 13, D-10785 BERLIN, GERMANYen_US
dc.relation.isversionof10.1515/jib-2020-0047en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcircRNAen_US
dc.subjectgene regulationen_US
dc.subjectmachine learningen_US
dc.subjectmiRNAen_US
dc.subjectSARS-CoV-2en_US
dc.titleCircular RNA-MicroRNA-MRNA interaction predictions in SARS-CoV-2 infectionen_US
dc.typearticleen_US
dc.contributor.departmentAGÜ, Yaşam ve Doğa Bilimleri Fakültesi, Biyomühendislik Bölümüen_US
dc.contributor.institutionauthorDemirci, Yilmaz Mehmet
dc.contributor.institutionauthorDemirci, Muserref Duygu Sacar
dc.identifier.volumeVolume 18 Issue 1 Page 45-50 Special Issue SIen_US
dc.relation.journalJOURNAL OF INTEGRATIVE BIOINFORMATICSen_US
dc.relation.tubitak120E042
dc.relation.publicationcategoryMakale - Uluslararası - Editör Denetimli Dergien_US


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