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A database of anti-coronavirus peptides
Since 2019, the novel coronavirus (SARS-COV-2) disease (COVID-19) has caused a worldwide epidemic. Anti-coronavirus peptides (ACovPs), a type of antimicrobial peptides (AMPs), have demonstrated excellent inhibitory effects on coronaviruses. However, state-of-the-art AMP databases contain only a smal...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192597/ https://www.ncbi.nlm.nih.gov/pubmed/35697698 http://dx.doi.org/10.1038/s41597-022-01394-3 |
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author | Zhang, Qianyue Chen, Xue Li, Bowen Lu, Chunying Yang, Shanshan Long, Jinjin Chen, Heng Huang, Jian He, Bifang |
author_facet | Zhang, Qianyue Chen, Xue Li, Bowen Lu, Chunying Yang, Shanshan Long, Jinjin Chen, Heng Huang, Jian He, Bifang |
author_sort | Zhang, Qianyue |
collection | PubMed |
description | Since 2019, the novel coronavirus (SARS-COV-2) disease (COVID-19) has caused a worldwide epidemic. Anti-coronavirus peptides (ACovPs), a type of antimicrobial peptides (AMPs), have demonstrated excellent inhibitory effects on coronaviruses. However, state-of-the-art AMP databases contain only a small number of ACovPs. Additionally, the fields of these databases are not uniform, and the units or evaluation standards of the same field are inconsistent. Most of these databases have not included the target domains of ACovPs and description of in vitro and in vivo assays to measure the inhibitory effects of ACovPs. Here, we present a database focused on ACovPs (ACovPepDB), which contains comprehensive and precise ACovPs information of 518 entries with 214 unique ACovPs manually collected from public databases and published peer-reviewed articles. We believe that ACovPepDB is of great significance for facilitating the development of new peptides and improving treatment for coronavirus infection. The database will become a portal for ACovPs and guide and help researchers perform further studies. The ACovPepDB is available at http://i.uestc.edu.cn/ACovPepDB/. |
format | Online Article Text |
id | pubmed-9192597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91925972022-06-15 A database of anti-coronavirus peptides Zhang, Qianyue Chen, Xue Li, Bowen Lu, Chunying Yang, Shanshan Long, Jinjin Chen, Heng Huang, Jian He, Bifang Sci Data Data Descriptor Since 2019, the novel coronavirus (SARS-COV-2) disease (COVID-19) has caused a worldwide epidemic. Anti-coronavirus peptides (ACovPs), a type of antimicrobial peptides (AMPs), have demonstrated excellent inhibitory effects on coronaviruses. However, state-of-the-art AMP databases contain only a small number of ACovPs. Additionally, the fields of these databases are not uniform, and the units or evaluation standards of the same field are inconsistent. Most of these databases have not included the target domains of ACovPs and description of in vitro and in vivo assays to measure the inhibitory effects of ACovPs. Here, we present a database focused on ACovPs (ACovPepDB), which contains comprehensive and precise ACovPs information of 518 entries with 214 unique ACovPs manually collected from public databases and published peer-reviewed articles. We believe that ACovPepDB is of great significance for facilitating the development of new peptides and improving treatment for coronavirus infection. The database will become a portal for ACovPs and guide and help researchers perform further studies. The ACovPepDB is available at http://i.uestc.edu.cn/ACovPepDB/. Nature Publishing Group UK 2022-06-13 /pmc/articles/PMC9192597/ /pubmed/35697698 http://dx.doi.org/10.1038/s41597-022-01394-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Zhang, Qianyue Chen, Xue Li, Bowen Lu, Chunying Yang, Shanshan Long, Jinjin Chen, Heng Huang, Jian He, Bifang A database of anti-coronavirus peptides |
title | A database of anti-coronavirus peptides |
title_full | A database of anti-coronavirus peptides |
title_fullStr | A database of anti-coronavirus peptides |
title_full_unstemmed | A database of anti-coronavirus peptides |
title_short | A database of anti-coronavirus peptides |
title_sort | database of anti-coronavirus peptides |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192597/ https://www.ncbi.nlm.nih.gov/pubmed/35697698 http://dx.doi.org/10.1038/s41597-022-01394-3 |
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