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BCEDB: a linear B-cell epitopes database for SARS-CoV-2
The 2019 Novel Coronavirus (SARS-CoV-2) has infected millions of people worldwide and caused millions of deaths. The virus has gone numerous mutations to replicate faster, which can overwhelm the immune system of the host. Linear B-cell epitopes are becoming promising in prevention of various deadly...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541793/ https://www.ncbi.nlm.nih.gov/pubmed/37776561 http://dx.doi.org/10.1093/database/baad065 |
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author | Tai, Chengzheng Li, Hongjun Zhang, Jing |
author_facet | Tai, Chengzheng Li, Hongjun Zhang, Jing |
author_sort | Tai, Chengzheng |
collection | PubMed |
description | The 2019 Novel Coronavirus (SARS-CoV-2) has infected millions of people worldwide and caused millions of deaths. The virus has gone numerous mutations to replicate faster, which can overwhelm the immune system of the host. Linear B-cell epitopes are becoming promising in prevention of various deadly infectious diseases, breaking the general idea of their low immunogenicity and partial protection. However, there is still no public repository to host the linear B-cell epitopes for facilitating the development vaccines against SARS-CoV-2. Therefore, we developed BCEDB, a linear B-cell epitopes database specifically designed for hosting, exploring and visualizing linear B-cell epitopes and their features. The database provides a comprehensive repository of computationally predicted linear B-cell epitopes from Spike protein; a systematic annotation of epitopes including sequence, antigenicity score, genomic locations of epitopes, mutations in different virus lineages, mutation sites on the 3D structure of Spike protein and a genome browser to visualize them in an interactive manner. It represents a valuable resource for peptide-based vaccine development. Database URL: http://www.oncoimmunobank.cn/bcedbindex |
format | Online Article Text |
id | pubmed-10541793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105417932023-10-02 BCEDB: a linear B-cell epitopes database for SARS-CoV-2 Tai, Chengzheng Li, Hongjun Zhang, Jing Database (Oxford) Original Article The 2019 Novel Coronavirus (SARS-CoV-2) has infected millions of people worldwide and caused millions of deaths. The virus has gone numerous mutations to replicate faster, which can overwhelm the immune system of the host. Linear B-cell epitopes are becoming promising in prevention of various deadly infectious diseases, breaking the general idea of their low immunogenicity and partial protection. However, there is still no public repository to host the linear B-cell epitopes for facilitating the development vaccines against SARS-CoV-2. Therefore, we developed BCEDB, a linear B-cell epitopes database specifically designed for hosting, exploring and visualizing linear B-cell epitopes and their features. The database provides a comprehensive repository of computationally predicted linear B-cell epitopes from Spike protein; a systematic annotation of epitopes including sequence, antigenicity score, genomic locations of epitopes, mutations in different virus lineages, mutation sites on the 3D structure of Spike protein and a genome browser to visualize them in an interactive manner. It represents a valuable resource for peptide-based vaccine development. Database URL: http://www.oncoimmunobank.cn/bcedbindex Oxford University Press 2023-09-30 /pmc/articles/PMC10541793/ /pubmed/37776561 http://dx.doi.org/10.1093/database/baad065 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Tai, Chengzheng Li, Hongjun Zhang, Jing BCEDB: a linear B-cell epitopes database for SARS-CoV-2 |
title | BCEDB: a linear B-cell epitopes database for SARS-CoV-2 |
title_full | BCEDB: a linear B-cell epitopes database for SARS-CoV-2 |
title_fullStr | BCEDB: a linear B-cell epitopes database for SARS-CoV-2 |
title_full_unstemmed | BCEDB: a linear B-cell epitopes database for SARS-CoV-2 |
title_short | BCEDB: a linear B-cell epitopes database for SARS-CoV-2 |
title_sort | bcedb: a linear b-cell epitopes database for sars-cov-2 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10541793/ https://www.ncbi.nlm.nih.gov/pubmed/37776561 http://dx.doi.org/10.1093/database/baad065 |
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