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A SARS-CoV-2 vaccine candidate: In-silico cloning and validation
SARS-CoV-2 is spreading globally at a rapid pace. To contain its spread and prevent further fatalities, the development of a vaccine against SARS-CoV-2 is an urgent prerequisite. Thus, in this article, by utilizing the in-silico approach, a vaccine candidate for SARS-CoV-2 has been proposed. Moreove...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7361115/ https://www.ncbi.nlm.nih.gov/pubmed/32835079 http://dx.doi.org/10.1016/j.imu.2020.100394 |
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author | Bhattacharya, Manojit Sharma, Ashish Ranjan Patra, Prasanta Ghosh, Pratik Sharma, Garima Patra, Bidhan Chandra Saha, Rudra P. Lee, Sang-Soo Chakraborty, Chiranjib |
author_facet | Bhattacharya, Manojit Sharma, Ashish Ranjan Patra, Prasanta Ghosh, Pratik Sharma, Garima Patra, Bidhan Chandra Saha, Rudra P. Lee, Sang-Soo Chakraborty, Chiranjib |
author_sort | Bhattacharya, Manojit |
collection | PubMed |
description | SARS-CoV-2 is spreading globally at a rapid pace. To contain its spread and prevent further fatalities, the development of a vaccine against SARS-CoV-2 is an urgent prerequisite. Thus, in this article, by utilizing the in-silico approach, a vaccine candidate for SARS-CoV-2 has been proposed. Moreover, the effectiveness and safety measures of our proposed epitopic vaccine candidate have been evaluated by in-silico tools and servers (AllerTOP and AllergenFP servers). We observed that the vaccine candidate has no allergenicity and successfully combined with Toll-like receptor (TLR) protein to elicit an inflammatory immune response. Stable, functional mobility of the vaccine-TLR protein binding interface was confirmed by the Normal Mode Analysis. The in-silico cloning model demonstrated the efficacy of the construct vaccine along with the identified epitopes against SARS-CoV-2. Taken together, our proposed in-silico vaccine candidate has potent efficacy against COVID-19 infection, and successive research work might validate its effectiveness in in vitro and in vivo models. |
format | Online Article Text |
id | pubmed-7361115 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Authors. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73611152020-07-15 A SARS-CoV-2 vaccine candidate: In-silico cloning and validation Bhattacharya, Manojit Sharma, Ashish Ranjan Patra, Prasanta Ghosh, Pratik Sharma, Garima Patra, Bidhan Chandra Saha, Rudra P. Lee, Sang-Soo Chakraborty, Chiranjib Inform Med Unlocked Article SARS-CoV-2 is spreading globally at a rapid pace. To contain its spread and prevent further fatalities, the development of a vaccine against SARS-CoV-2 is an urgent prerequisite. Thus, in this article, by utilizing the in-silico approach, a vaccine candidate for SARS-CoV-2 has been proposed. Moreover, the effectiveness and safety measures of our proposed epitopic vaccine candidate have been evaluated by in-silico tools and servers (AllerTOP and AllergenFP servers). We observed that the vaccine candidate has no allergenicity and successfully combined with Toll-like receptor (TLR) protein to elicit an inflammatory immune response. Stable, functional mobility of the vaccine-TLR protein binding interface was confirmed by the Normal Mode Analysis. The in-silico cloning model demonstrated the efficacy of the construct vaccine along with the identified epitopes against SARS-CoV-2. Taken together, our proposed in-silico vaccine candidate has potent efficacy against COVID-19 infection, and successive research work might validate its effectiveness in in vitro and in vivo models. The Authors. Published by Elsevier Ltd. 2020 2020-07-15 /pmc/articles/PMC7361115/ /pubmed/32835079 http://dx.doi.org/10.1016/j.imu.2020.100394 Text en © 2020 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Bhattacharya, Manojit Sharma, Ashish Ranjan Patra, Prasanta Ghosh, Pratik Sharma, Garima Patra, Bidhan Chandra Saha, Rudra P. Lee, Sang-Soo Chakraborty, Chiranjib A SARS-CoV-2 vaccine candidate: In-silico cloning and validation |
title | A SARS-CoV-2 vaccine candidate: In-silico cloning and validation |
title_full | A SARS-CoV-2 vaccine candidate: In-silico cloning and validation |
title_fullStr | A SARS-CoV-2 vaccine candidate: In-silico cloning and validation |
title_full_unstemmed | A SARS-CoV-2 vaccine candidate: In-silico cloning and validation |
title_short | A SARS-CoV-2 vaccine candidate: In-silico cloning and validation |
title_sort | sars-cov-2 vaccine candidate: in-silico cloning and validation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7361115/ https://www.ncbi.nlm.nih.gov/pubmed/32835079 http://dx.doi.org/10.1016/j.imu.2020.100394 |
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