COMPUTATIONAL IDENTIFICATION OF MICRORNAS FROM SSDNA VIRUSES

Müşerref Duygu  Saçar DEMİRCİ

Article Details

COMPUTATIONAL IDENTIFICATION OF MICRORNAS FROM SSDNA VIRUSES

Authors:

Müşerref Duygu Saçar DEMİRCİ

Publisher:

Eskisehir Technical University

Journal:

Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 2018 Vol.19 Issue 3, pp.565-573

Document Type:

Article

Publication Date:

8/2018

Document Language:

Turkish

Document ID (Org No.):

2000417036

pISSN:

2667-4211

Abstract:

 

MicroRNAs (miRNAs) are post-transcriptional regulators of gene expression and the fact that they are associated with various disease phenotypes is one of the main reasons for their importance. The complexity of experimental detection of miRNAs due to their characteristics led to the development of computational methods. In this work, a machine learning based approach was applied to identify and analyze potential miRNAs that might be originated from 60 single strand DNA (ssDNA) viruses’ genomes. The results suggest that 53 of these viruses may possibly produce proper miRNA precursors. Moreover, the possibility of these candidate miRNA precursors’ ability to generate mature miRNAs that could target human genes and viral genomes has been tested.  Overall, the outcomes of this research indicate that there might be another level of host-virus interaction through miRNAs which requires further experimental confirmation.

Article Details

COMPUTATIONAL IDENTIFICATION OF MICRORNAS FROM SSDNA VIRUSES

Authors: Müşerref Duygu Saçar DEMİRCİ

Publisher: Eskisehir Technical University

Journal: Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 2018 Vol.19 Issue 3, pp.565-573

Document Type: Article

Publication Date: 8/2018

Document Language: Turkish

Document ID (Org No.): 2000417036

pISSN: 2667-4211

Issues

Authors:

Müşerref Duygu Saçar DEMİRCİ

Publisher:

Eskisehir Technical University

Journal:

Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 2018 Vol.19 Issue 3, pp.565-573

Document Type:

Article

Publication Date:

8/2018

Document Language:

Turkish

Document ID (Org No.):

2000417036

pISSN:

2667-4211