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hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses
In the twenty-first century, three new human coronaviruses have been identified with known zoonotic origins: severe acute respiratory syndrome coronavirus (SARS-CoV), SARS-CoV-2, and Middle East respiratory syndrome coronavirus (MERS-CoV). SARS-CoV-2 was identified in November 2019 and is associated...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216473/ https://www.ncbi.nlm.nih.gov/pubmed/35348639 http://dx.doi.org/10.1093/database/baac017 |
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author | Almansour, Iman Boudellioua, Imane |
author_facet | Almansour, Iman Boudellioua, Imane |
author_sort | Almansour, Iman |
collection | PubMed |
description | In the twenty-first century, three new human coronaviruses have been identified with known zoonotic origins: severe acute respiratory syndrome coronavirus (SARS-CoV), SARS-CoV-2, and Middle East respiratory syndrome coronavirus (MERS-CoV). SARS-CoV-2 was identified in November 2019 and is associated with an ongoing pandemic. Molecular surveillance and monitoring studies are essential for containing viral outbreaks, epidemics, and pandemics. In addition, the development and deployment of bioinformatics resources for highly pathogenic human coronaviruses are crucial for understanding the genetic and immunogenic landscape associated with these viruses. Here, we introduce an open-access, integrated resource for SARS-CoV, SARS-CoV-2, and MERS-CoV: the Human Coronaviruses Database and Analysis Resource (hCoronavirusesDB; http://hcoronaviruses.net/), which include nucleotide and protein sequence data obtained for these viruses. The database also offers a user-friendly search interface coupled with bioinformatics analytics and visualization tools. In addition, hCoronavirusesDB contains curated, experimentally validated B cell and T cell epitope data for these viruses. This resource can assist with the molecular surveillance necessary to trace virus circulation and contribute to microevolutionary studies. This application can also serve as a valuable resource for the development of rationally designed pan-coronavirus diagnostic tools, vaccines, and therapeutic agents. Database URL:http://hcoronaviruses.net/ |
format | Online Article Text |
id | pubmed-9216473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-92164732022-06-23 hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses Almansour, Iman Boudellioua, Imane Database (Oxford) Database Tool In the twenty-first century, three new human coronaviruses have been identified with known zoonotic origins: severe acute respiratory syndrome coronavirus (SARS-CoV), SARS-CoV-2, and Middle East respiratory syndrome coronavirus (MERS-CoV). SARS-CoV-2 was identified in November 2019 and is associated with an ongoing pandemic. Molecular surveillance and monitoring studies are essential for containing viral outbreaks, epidemics, and pandemics. In addition, the development and deployment of bioinformatics resources for highly pathogenic human coronaviruses are crucial for understanding the genetic and immunogenic landscape associated with these viruses. Here, we introduce an open-access, integrated resource for SARS-CoV, SARS-CoV-2, and MERS-CoV: the Human Coronaviruses Database and Analysis Resource (hCoronavirusesDB; http://hcoronaviruses.net/), which include nucleotide and protein sequence data obtained for these viruses. The database also offers a user-friendly search interface coupled with bioinformatics analytics and visualization tools. In addition, hCoronavirusesDB contains curated, experimentally validated B cell and T cell epitope data for these viruses. This resource can assist with the molecular surveillance necessary to trace virus circulation and contribute to microevolutionary studies. This application can also serve as a valuable resource for the development of rationally designed pan-coronavirus diagnostic tools, vaccines, and therapeutic agents. Database URL:http://hcoronaviruses.net/ Oxford University Press 2022-03-26 /pmc/articles/PMC9216473/ /pubmed/35348639 http://dx.doi.org/10.1093/database/baac017 Text en © The Author(s) 2022. 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 | Database Tool Almansour, Iman Boudellioua, Imane hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses |
title | hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses |
title_full | hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses |
title_fullStr | hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses |
title_full_unstemmed | hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses |
title_short | hCoronavirusesDB: an integrated bioinformatics resource for human coronaviruses |
title_sort | hcoronavirusesdb: an integrated bioinformatics resource for human coronaviruses |
topic | Database Tool |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216473/ https://www.ncbi.nlm.nih.gov/pubmed/35348639 http://dx.doi.org/10.1093/database/baac017 |
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