Suppr超能文献

抗病毒肽数据库。

A database of anti-coronavirus peptides.

机构信息

Medical College, Guizhou University, Guiyang, 550025, China.

School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.

出版信息

Sci Data. 2022 Jun 13;9(1):294. doi: 10.1038/s41597-022-01394-3.

Abstract

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/ .

摘要

自 2019 年以来,新型冠状病毒(SARS-COV-2 病毒)疾病(COVID-19)在全球范围内引发了疫情。抗病毒肽(ACovPs)作为一种抗菌肽(AMPs),对冠状病毒表现出了极好的抑制作用。然而,现有的抗菌肽数据库中只包含少量的抗病毒肽。此外,这些数据库的领域并不统一,同一领域的单位或评价标准也不一致。这些数据库大多没有包含抗病毒肽的靶结构域,也没有描述体外和体内测定抗病毒肽抑制效果的实验。在这里,我们提出了一个专注于抗病毒肽(ACovPepDB)的数据库,该数据库包含了 518 条记录的综合而精确的抗病毒肽信息,其中 214 条独特的抗病毒肽是从公共数据库和已发表的同行评议文章中手动收集的。我们相信,ACovPepDB 对于促进新型肽的开发和改善冠状病毒感染的治疗具有重要意义。该数据库将成为抗病毒肽的门户,并指导和帮助研究人员进行进一步的研究。ACovPepDB 可在 http://i.uestc.edu.cn/ACovPepDB/ 上获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdf0/9192597/4169a889d209/41597_2022_1394_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验