In Silico Domain Structural Model Analysis of Coronavirus ORF1ab Polyprotein

Jameel, Mohammed I. and Noori, Rabar J. and Rasul, Soma F. (2022) In Silico Domain Structural Model Analysis of Coronavirus ORF1ab Polyprotein. ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY, 10 (2). pp. 7-10. ISSN 2410-9355

Text (Research Article) ARO.10829 -VOL10.NO2.2022.ISSUE19-PP7-10.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (1MB)

Abstract

The world today is battling with a coronavirus infection that is considered a global pandemic. Coronavirus infection is mainly attribute to the varying technique of the replication and release of different genomic components of the virus. The present study aims to establish the physical and chemical features, as well as the basic structural and functional properties of Coronavirus ORF1ab domain. A molecular approach was adopt in this study using the Swiss Model and Phyre2 server whereas the prediction of the active ligand binding sites was done using Phyre2. The analysis of the structure of the protein showed that it has good structural and heat stability, as well as better hydrophilic features and acidic in nature. Based on the Homology modeling, only two binding active sites were noted with catalytic function being mediated by Zn2+ as the metallic heterogeneous ligand for binding sites prediction. The proteins mostly exhibited helical secondary configurations. This study can help in predicting and understanding the role of this domain protein in active coronavirus infection

Item Type:	Article
Uncontrolled Keywords:	Coronavirus, Ligand, Modeling, ORF1ab
Subjects:	Q Science > QR Microbiology
Divisions:	ARO-The Scientific Journal of Koya University > VOL 10, NO 2 (2022)
Depositing User:	Dr Salah Ismaeel Yahya
Date Deposited:	26 Sep 2022 07:25
Last Modified:	26 Sep 2022 07:25
URI:	http://eprints.koyauniversity.org/id/eprint/326

Actions (login required)

View Item