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DrugRepV: a compendium of repurposed drugs and chemicals targeting epidemic and pandemic viruses

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title DrugRepV: a compendium of repurposed drugs and chemicals targeting epidemic and pandemic viruses
 
Creator Rajput, Akanksha
Kumar, Archit
Megha, Kirti
Thakur, Anamika
Kumar, Manoj
 
Subject QR Microbiology
QR355 Virology
 
Description Viruses are responsible for causing various epidemics and pandemics with a high mortality rate e.g. ongoing SARS-CoronaVirus-2 crisis. The discovery of novel antivirals remains a challenge but drug repurposing is emerging as a potential solution to develop antivirals in a cost-effective manner. In this regard, we collated the information of repurposed drugs tested for antiviral activity from literature and presented it in the form of a user-friendly web server named 'DrugRepV'. The database contains 8485 entries (3448 unique) with biological, chemical, clinical and structural information of 23 viruses responsible to cause epidemics/pandemics. The database harbors browse and search options to explore the repurposed drug entries. The data can be explored by some important fields like drugs, viruses, drug targets, clinical trials, assays, etc. For summarizing the data, we provide overall statistics of the repurposed candidates. To make the database more informative, it is hyperlinked to various external repositories like DrugBank, PubChem, NCBI-Taxonomy, Clinicaltrials.gov, World Health Organization and many more. 'DrugRepV' database (https://bioinfo.imtech.res.in/manojk/drugrepv/) would be highly useful to the research community working to develop antivirals.
 
Publisher Oxford Academic
 
Date 2021-03-22
 
Type Article
PeerReviewed
 
Relation https://academic.oup.com/bib/article/22/2/1076/6105944
http://crdd.osdd.net/open/2665/
 
Identifier Rajput, Akanksha and Kumar, Archit and Megha, Kirti and Thakur, Anamika and Kumar, Manoj (2021) DrugRepV: a compendium of repurposed drugs and chemicals targeting epidemic and pandemic viruses. Briefings in Bioinformatics, 22 (2). pp. 1076-1084. ISSN 1467-5463