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A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria
Human malaria is a pathogenic disease mainly caused by Plasmodium falciparum, which was responsible for about 405,000 deaths globally in the year 2018. To date, several vaccine candidates have been evaluated for prevention, which failed to produce optimal output at various preclinical/clinical stage...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189201/ https://www.ncbi.nlm.nih.gov/pubmed/32360460 http://dx.doi.org/10.1016/j.ijbiomac.2020.04.191 |
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author | Pritam, Manisha Singh, Garima Swaroop, Suchit Singh, Akhilesh Kumar Pandey, Brijesh Singh, Satarudra Prakash |
author_facet | Pritam, Manisha Singh, Garima Swaroop, Suchit Singh, Akhilesh Kumar Pandey, Brijesh Singh, Satarudra Prakash |
author_sort | Pritam, Manisha |
collection | PubMed |
description | Human malaria is a pathogenic disease mainly caused by Plasmodium falciparum, which was responsible for about 405,000 deaths globally in the year 2018. To date, several vaccine candidates have been evaluated for prevention, which failed to produce optimal output at various preclinical/clinical stages. This study is based on designing of polypeptide vaccines (PVs) against human malaria that cover almost all stages of life-cycle of Plasmodium and for the same 5 genome derived predicted antigenic proteins (GDPAP) have been used. For the development of a multi-immune inducer, 15 PVs were initially designed using T-cell epitope ensemble, which covered >99% human population as well as linear B-cell epitopes with or without adjuvants. The immune simulation of PVs showed higher levels of T-cell and B-cell activities compared to positive and negative vaccine controls. Furthermore, in silico cloning of PVs and codon optimization followed by enhanced expression within Lactococcus lactis host system was also explored. Although, the study has sound theoretical and in silico findings, the in vitro/in vivo evaluation seems imperative to warrant the immunogenicity and safety of PVs towards management of P. falciparum infection in the future. |
format | Online Article Text |
id | pubmed-7189201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71892012020-04-29 A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria Pritam, Manisha Singh, Garima Swaroop, Suchit Singh, Akhilesh Kumar Pandey, Brijesh Singh, Satarudra Prakash Int J Biol Macromol Article Human malaria is a pathogenic disease mainly caused by Plasmodium falciparum, which was responsible for about 405,000 deaths globally in the year 2018. To date, several vaccine candidates have been evaluated for prevention, which failed to produce optimal output at various preclinical/clinical stages. This study is based on designing of polypeptide vaccines (PVs) against human malaria that cover almost all stages of life-cycle of Plasmodium and for the same 5 genome derived predicted antigenic proteins (GDPAP) have been used. For the development of a multi-immune inducer, 15 PVs were initially designed using T-cell epitope ensemble, which covered >99% human population as well as linear B-cell epitopes with or without adjuvants. The immune simulation of PVs showed higher levels of T-cell and B-cell activities compared to positive and negative vaccine controls. Furthermore, in silico cloning of PVs and codon optimization followed by enhanced expression within Lactococcus lactis host system was also explored. Although, the study has sound theoretical and in silico findings, the in vitro/in vivo evaluation seems imperative to warrant the immunogenicity and safety of PVs towards management of P. falciparum infection in the future. Published by Elsevier B.V. 2020-09-01 2020-04-29 /pmc/articles/PMC7189201/ /pubmed/32360460 http://dx.doi.org/10.1016/j.ijbiomac.2020.04.191 Text en © 2020 Published by Elsevier B.V. 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 Pritam, Manisha Singh, Garima Swaroop, Suchit Singh, Akhilesh Kumar Pandey, Brijesh Singh, Satarudra Prakash A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria |
title | A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria |
title_full | A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria |
title_fullStr | A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria |
title_full_unstemmed | A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria |
title_short | A cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria |
title_sort | cutting-edge immunoinformatics approach for design of multi-epitope oral vaccine against dreadful human malaria |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7189201/ https://www.ncbi.nlm.nih.gov/pubmed/32360460 http://dx.doi.org/10.1016/j.ijbiomac.2020.04.191 |
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