4.8 Article

COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale

Journal

NUCLEIC ACIDS RESEARCH
Volume 50, Issue D1, Pages D747-D757

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkab850

Keywords

-

Funding

  1. Guangdong Basic and Applied Basic Research Foundation, China [2020A1515110528]
  2. National Natural Science Foundation of China [32100513]
  3. China Postdoctoral Science Foundation [2021M693302]
  4. Strategic Priority CAS Project [XDB38000000]
  5. National Key R&D Program of China [2018YFB0204403]
  6. Shenzhen BasicResearch Fund [RCYX2020071411473419, KQTD20200820113106007, JSGG20201102163800001]
  7. Sanming Project of Medicine (Shenzhen) [SZSM201911016]

Ask authors/readers for more resources

In this study, the researchers developed the COVID19db platform, which provides a user-friendly platform for researchers to analyze transcriptomic data of coronavirus disease 2019 (COVID-19). The platform standardized and annotated each dataset and offers multiple analytical applications and a drug discovery tool to help researchers better understand the mechanisms underlying COVID-19 and identify potential drugs and targets.
Many open access transcriptomic data of coronavirus disease 2019 (COVID-19) were generated, they have great heterogeneity and are difficult to analyze. To utilize these invaluable data for better understanding of COVID-19, additional software should be developed. Especially for researchers without bioinformatic skills, a user-friendly platform is mandatory. We developed the COVID19db platform (http://hpcc.siat.ac.cn/covid19db & http://www.biomedical-web.com/covid19db) that provides 39 930 drug-target-pathway interactions and 95 COVID-19 related datasets, which include transcriptomes of 4127 human samples across 13 body sites associated with the exposure of 33 microbes and 33 drugs/agents. To facilitate data application, each dataset was standardized and annotated with rich clinical information. The platform further provides 14 different analytical applications to analyze various mechanisms underlying COVID-19. Moreover, the 14 applications enable researchers to customize grouping and setting for different analyses and allow them to perform analyses using their own data. Furthermore, a Drug Discovery tool is designed to identify potential drugs and targets at whole transcriptomic scale. For proof of concept, we used COVID19db and identified multiple potential drugs and targets for COVID-19. In summary, COVID19db provides user-friendly web interfaces to freely analyze, download data, and submit new data for further integration, it can accelerate the identification of effective strategies against COVID-19.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available