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

doi:10.1093/nar/gkab850

	COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale
	Zhang, Wenliang 1,2,8; Zhang, Yan 2,3; Min, Zhuochao 4; Mo, Jing 8; Ju, Zhen 2,6,7; Guan, Wen 8,9; Zeng, Binghui 8,10; Liu, Yang 2,3; Chen, Jianliang 1; Zhang, Qianshen 1; Li, Hanguang 1; Zeng, Chunxia 2,6,7; Wei, Yanjie 2,6,7; Chan, Godfrey Chi-Fung 1,5
	2022-01-07
发表期刊	NUCLEIC ACIDS RESEARCH
ISSN	0305-1048
卷号	50 期号:D1 页码:D747-D757
摘要	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.
DOI	10.1093/nar/gkab850
收录类别	SCI
语种	英语
资助项目	Guangdong Basic and Applied Basic Research Foundation, China[2020A1515110528] ; National Natural Science Foundation of China[32100513] ; China Postdoctoral Science Foundation[2021M693302] ; Strategic Priority CAS Project[XDB38000000] ; National Key R&D Program of China[2018YFB0204403] ; Shenzhen BasicResearch Fund[RCYX2020071411473419] ; Shenzhen BasicResearch Fund[KQTD20200820113106007] ; Shenzhen BasicResearch Fund[JSGG20201102163800001] ; Sanming Project of Medicine (Shenzhen)[SZSM201911016]
WOS研究方向	Biochemistry & Molecular Biology
WOS类目	Biochemistry & Molecular Biology
WOS记录号	WOS:000743496700090
出版者	OXFORD UNIV PRESS
引用统计	被引频次：27[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/18235
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Wenliang; Wei, Yanjie; Chan, Godfrey Chi-Fung
作者单位	1.Univ Hong Kong, Dept Pediat, Shenzhen Hosp, Shenzhen 518053, Guangdong, Peoples R China 2.Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China 3.Univ Hong Kong, Dept Clin Oncol, Shenzhen Hosp, Shenzhen 518053, Guangdong, Peoples R China 4.Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 610054, Peoples R China 5.Univ Hong Kong, Dept Pediat & Adolescent Med, LKS Fac Med, 21 Sassoon Rd, Hong Kong 999077, Peoples R China 6.Chinese Acad Sci, Ctr High Performance Comp, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China 7.Chinese Acad Sci, Shenzhen Inst Adv Technol, CAS Key Lab Hlth Informat, Shenzhen 518055, Guangdong, Peoples R China 8.Outstanding Biotechnol Co Ltd Shenzhen, Dept Bioinformat, Shenzhen, Peoples R China 9.Guangdong Acad Sci, Guangdong Key Lab Anim Conservat & Resource Utili, Inst Zool, Guangzhou 510260, Peoples R China 10.Sun Yat Sen Univ, Hosp Stomatol, Guanghua Sch Stomatol, Guangdong Prov Key Lab Stomatol, Guangzhou 510055, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Wenliang,Zhang, Yan,Min, Zhuochao,et al. COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale[J]. NUCLEIC ACIDS RESEARCH,2022,50(D1):D747-D757.
APA	Zhang, Wenliang.,Zhang, Yan.,Min, Zhuochao.,Mo, Jing.,Ju, Zhen.,...&Chan, Godfrey Chi-Fung.(2022).COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale.NUCLEIC ACIDS RESEARCH,50(D1),D747-D757.
MLA	Zhang, Wenliang,et al."COVID19db: a comprehensive database platform to discover potential drugs and targets of COVID-19 at whole transcriptomic scale".NUCLEIC ACIDS RESEARCH 50.D1(2022):D747-D757.