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  5. Epitope-based Immunoinformatics Approach on Nucleocapsid Protein of Severe Acute Respiratory Syndrome-Coronavirus-2

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Preprint
en
2020

Epitope-based Immunoinformatics Approach on Nucleocapsid Protein of Severe Acute Respiratory Syndrome-Coronavirus-2

0 Datasets

0 Files

en
2020
DOI: 10.21203/rs.3.rs-37055/v1

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Jesus Simal Gandara
Jesus Simal Gandara

Universidade de Vigo

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Ahmed Rakib
Saad Ahmed Sami
Md. Ashiqul Islam
+8 more

Abstract

Abstract With an increasing fatality rate, severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) has emerged as a promising threat to human health worldwide. SARS-CoV-2 is a member of the Coronaviridae family, which is transmitted from animal to human and because of being contagious, further it transmitted human to human. Recently, the World Health Organization (WHO) has announced the infectious disease caused by SARS-CoV-2, which is known as coronavirus disease-2019 (COVID-2019) as a global pandemic. But, no specific medications are available for the treatment of COVID-19 so far. As a corollary, there is a need for a potential vaccine to impede the progression of the disease. Lately, it has been documented that the nucleocapsid (N) protein of SARS-CoV-2 is responsible for viral replication as well as interferes with host immune responses. We have comparatively analyzed the sequences of N protein of SARS-CoV-2 for the identification of core attributes and analyzed the ancestry through phylogenetic analysis. Subsequently, we have predicted the most immunogenic epitope for T-cell as well as B-cell. Importantly, our investigation mainly focused on major histocompatibility complex (MHC) class I potential peptides and NTASWFTAL interacted with most human leukocyte antigen (HLA) that are encoded by MHC class I molecules. Further, molecular docking analysis unveiled that NTASWFTAL possessed a greater affinity towards HLA and also available in a greater range of the population. Our study provides a consolidated base for vaccine design and we hope that this computational analysis will pave the way for designing novel vaccine candidates.

How to cite this publication

Ahmed Rakib, Saad Ahmed Sami, Md. Ashiqul Islam, Shahriar Ahmed, Farhana Binta Faiz, Bibi Humayra Khanam, Kay Kay Shain Marma, Maksuda Rahman, Mir Muhammad Nasir Uddin, Talha Bin Emran, Jesus Simal Gandara (2020). Epitope-based Immunoinformatics Approach on Nucleocapsid Protein of Severe Acute Respiratory Syndrome-Coronavirus-2. , DOI: https://doi.org/10.21203/rs.3.rs-37055/v1.

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Publication Details

Type

Preprint

Year

2020

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.21203/rs.3.rs-37055/v1

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