UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 9 Issue 1
January-2022
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2201297


Registration ID:
319243

Page Number

c755-c799

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Title

IDENTIFICATION AND COMPARISON OF POSSIBLE EPITOPE – DESIGNED TARGETS USING IN-SILICO TECHNIQUES FOR CORONA VIRUS

Abstract

The SARS Coronavirus-2 (SARS-CoV-2) epidemic has become a global issue that has raised concerns for the scientific community to design and find a way to combat this deadly virus. To date, the epidemic has claimed hundreds of thousands of lives as a result of infection and spread. Growing evidence suggests that T cells may play a key role in the fight against acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Therefore, COVID-19 vaccines that can obtain a strong T cell response may be very important. The design, development and evaluation of vaccine trials help to understand the T cell epitopes of SARS-CoV-2, which is less well known. Because of the challenges of diagnosing epitopes by experimentation, many studies have suggested the use of in-silico methods. Here, we present of the in-silico methods used to predict SARS-CoV-2 T cell epitopes. These methods use a different set of technical methods, which often focus on machine learning. Functional comparisons are based on the diagnostic power of a specific set of immunogenic epitopes determined by experiments targeted T cells in recovering COVID-19 patients, highlighting the relative functional relevance of the various methods adopted by in - Silico studies. The investigation also prioritizes ideas for future research guidelines.

Key Words

Coronavirus, COVID-19, SARS-CoV-2, Epitope based techniques, In- silico techniques, MHC prediction, Bioinformatics

Cite This Article

"IDENTIFICATION AND COMPARISON OF POSSIBLE EPITOPE – DESIGNED TARGETS USING IN-SILICO TECHNIQUES FOR CORONA VIRUS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 1, page no.c755-c799, January-2022, Available :http://www.jetir.org/papers/JETIR2201297.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IDENTIFICATION AND COMPARISON OF POSSIBLE EPITOPE – DESIGNED TARGETS USING IN-SILICO TECHNIQUES FOR CORONA VIRUS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 1, page no. ppc755-c799, January-2022, Available at : http://www.jetir.org/papers/JETIR2201297.pdf

Publication Details

Published Paper ID: JETIR2201297
Registration ID: 319243
Published In: Volume 9 | Issue 1 | Year January-2022
DOI (Digital Object Identifier):
Page No: c755-c799
Country: TIRUCHIRAPALLI, TAMILNADU, India .
Area: Science
ISSN Number: 2349-5162
Publisher: IJ Publication


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