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Title

Sequence to structural analysis of ORF5 protein in Norway rat Hepatitis E Virus

Authors

Zoya Shafat1, Anwar Ahmed2, Mohammad K. Parvez3 & Shama Parveen1,*

 

Affiliation

1Centre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India; 2Centre of Excellence in Biotechnology Research, College of Science, King Saud University, Riyadh, Saudi Arabia; 3Department of Pharmacognosy, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia; *Corresponding author

 

Email

Shama Parveen - sparveen2@jmi.ac.in; Zoya Shafat - zoya179695@st.jmi.ac.in; Anwar Ahmed - anahmed@ksu.edu.sa Mohammad K. Parvez - mohkhalid@ksu.edu.sa

 

Article Type

Research Article

 

Date

Received October 25, 2021; Revised November 14, 2021; Accepted November 14, 2021, Published January 31, 2022

 

Abstract

Hepatitis E virus (HEV) is a major causative agent of acute hepatitis in developing countries. The Norway rat HEV genome consists of six open reading frames (ORFs), i.e., ORF1, ORF2, ORF3, ORF4, ORF5 and ORF6. The additional reading frame encoded protein ORF5 is attributed to life cycle of rat HEV. The ORFF5 proteinís function remains undetermined. Therefore, it is of interest to analyze the ORF5 protein for its physiochemical properties, primary structure, secondary structure, tertiary structure and functional characteristics using bioinformatics tools. Analysis of the ORF5 protein revealed it as highly unstable, hydrophilic with basic pI. The ORF5 protein consisted mostly of Arg, Pro, Ser, Leu and Gly. The 3D structural homology model of the ORF5 protein generated showed mixed α/β structural fold with predominance of coils. Structural analysis revealed the presence of clefts, pores and a tunnel. This data will help in the sequence, structure and functional annotation of ORF5.

 

Keywords

Rat HEV, open reading frame 5 (ORF5), physicochemical parameters, primary structure, secondary structure, homology modelling, tertiary structure, motif prediction

 

Citation

Shafat et al. Bioinformation 18(1): 19-25 (2022)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.