A database of anti-coronavirus peptides

被引:21
作者
Zhang, Qianyue [1 ]
Chen, Xue [1 ]
Li, Bowen [1 ]
Lu, Chunying [1 ]
Yang, Shanshan [1 ]
Long, Jinjin [1 ]
Chen, Heng [1 ]
Huang, Jian [2 ]
He, Bifang [1 ]
机构
[1] Guizhou Univ, Coll Med, Guiyang 550025, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Life Sci andTechnol, Chengdu 611731, Peoples R China
基金
中国国家自然科学基金;
关键词
PREDICTION;
D O I
10.1038/s41597-022-01394-3
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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/.
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页数:9
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