Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design
The ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has globally devastated public health, the economies of many countries and quality of life universally. The recent emergence of immune-escaped variants and scenario...
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Taylor and Francis Ltd.
2023
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130433647&doi=10.1080%2f20477724.2022.2072456&partnerID=40&md5=5a254f3f83d5beb4ea1db36e885a32fc |
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2-s2.0-85130433647 Lim C.P.; Kok B.H.; Lim H.T.; Chuah C.; Abdul Rahman B.; Abdul Majeed A.B.; Wykes M.; Leow C.H.; Leow C.Y. Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design 2023 Pathogens and Global Health 117 2 10.1080/20477724.2022.2072456 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130433647&doi=10.1080%2f20477724.2022.2072456&partnerID=40&md5=5a254f3f83d5beb4ea1db36e885a32fc The ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has globally devastated public health, the economies of many countries and quality of life universally. The recent emergence of immune-escaped variants and scenario of vaccinated individuals being infected has raised the global concerns about the effectiveness of the current available vaccines in transmission control and disease prevention. Given the high rate mutation of SARS-CoV-2, an efficacious vaccine targeting against multiple variants that contains virus-specific epitopes is desperately needed. An immunoinformatics approach is gaining traction in vaccine design and development due to the significant reduction in time and cost of immunogenicity studies and increasing reliability of the generated results. It can underpin the development of novel therapeutic methods and accelerate the design and production of peptide vaccines for infectious diseases. Structural proteins, particularly spike protein (S), along with other proteins have been studied intensively as promising coronavirus vaccine targets. Numbers of promising online immunological databases, tools and web servers have widely been employed for the design and development of next generation COVID-19 vaccines. This review highlights the role of immunoinformatics in identifying immunogenic peptides as potential vaccine targets, involving databases, and prediction and characterization of epitopes which can be harnessed for designing future coronavirus vaccines. © 2022 Informa UK Limited, trading as Taylor & Francis Group. Taylor and Francis Ltd. 20477724 English Review All Open Access; Green Open Access |
author |
Lim C.P.; Kok B.H.; Lim H.T.; Chuah C.; Abdul Rahman B.; Abdul Majeed A.B.; Wykes M.; Leow C.H.; Leow C.Y. |
spellingShingle |
Lim C.P.; Kok B.H.; Lim H.T.; Chuah C.; Abdul Rahman B.; Abdul Majeed A.B.; Wykes M.; Leow C.H.; Leow C.Y. Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design |
author_facet |
Lim C.P.; Kok B.H.; Lim H.T.; Chuah C.; Abdul Rahman B.; Abdul Majeed A.B.; Wykes M.; Leow C.H.; Leow C.Y. |
author_sort |
Lim C.P.; Kok B.H.; Lim H.T.; Chuah C.; Abdul Rahman B.; Abdul Majeed A.B.; Wykes M.; Leow C.H.; Leow C.Y. |
title |
Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design |
title_short |
Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design |
title_full |
Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design |
title_fullStr |
Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design |
title_full_unstemmed |
Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design |
title_sort |
Recent trends in next generation immunoinformatics harnessed for universal coronavirus vaccine design |
publishDate |
2023 |
container_title |
Pathogens and Global Health |
container_volume |
117 |
container_issue |
2 |
doi_str_mv |
10.1080/20477724.2022.2072456 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130433647&doi=10.1080%2f20477724.2022.2072456&partnerID=40&md5=5a254f3f83d5beb4ea1db36e885a32fc |
description |
The ongoing pandemic of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has globally devastated public health, the economies of many countries and quality of life universally. The recent emergence of immune-escaped variants and scenario of vaccinated individuals being infected has raised the global concerns about the effectiveness of the current available vaccines in transmission control and disease prevention. Given the high rate mutation of SARS-CoV-2, an efficacious vaccine targeting against multiple variants that contains virus-specific epitopes is desperately needed. An immunoinformatics approach is gaining traction in vaccine design and development due to the significant reduction in time and cost of immunogenicity studies and increasing reliability of the generated results. It can underpin the development of novel therapeutic methods and accelerate the design and production of peptide vaccines for infectious diseases. Structural proteins, particularly spike protein (S), along with other proteins have been studied intensively as promising coronavirus vaccine targets. Numbers of promising online immunological databases, tools and web servers have widely been employed for the design and development of next generation COVID-19 vaccines. This review highlights the role of immunoinformatics in identifying immunogenic peptides as potential vaccine targets, involving databases, and prediction and characterization of epitopes which can be harnessed for designing future coronavirus vaccines. © 2022 Informa UK Limited, trading as Taylor & Francis Group. |
publisher |
Taylor and Francis Ltd. |
issn |
20477724 |
language |
English |
format |
Review |
accesstype |
All Open Access; Green Open Access |
record_format |
scopus |
collection |
Scopus |
_version_ |
1820775453759111168 |