Coronavirus Antiviral Research Database (CoV-RDB): An Online Database Designed to Facilitate Comparisons between Candidate Anti-Coronavirus Compounds.
Viruses
; 12(9)2020 09 09.
Article
in English
| MEDLINE | ID: covidwho-760953
ABSTRACT
BACKGROUND:
To prioritize the development of antiviral compounds, it is necessary to compare their relative preclinical activity and clinical efficacy.METHODS:
We reviewed in vitro, animal model, and clinical studies of candidate anti-coronavirus compounds and placed extracted data in an online relational database.RESULTS:
As of August 2020, the Coronavirus Antiviral Research Database (CoV-RDB; covdb.stanford.edu) contained over 2800 cell culture, entry assay, and biochemical experiments, 259 animal model studies, and 73 clinical studies from over 400 published papers. SARS-CoV-2, SARS-CoV, and MERS-CoV account for 85% of the data. Approximately 75% of experiments involved compounds with known or likely mechanisms of action, including monoclonal antibodies and receptor binding inhibitors (21%), viral protease inhibitors (17%), miscellaneous host-acting inhibitors (10%), polymerase inhibitors (9%), interferons (7%), fusion inhibitors (5%), and host protease inhibitors (5%). Of 975 compounds with known or likely mechanism, 135 (14%) are licensed in the U.S. for other indications, 197 (20%) are licensed outside the U.S. or are in human trials, and 595 (61%) are pre-clinical investigational compounds.CONCLUSION:
CoV-RDB facilitates comparisons between different candidate antiviral compounds, thereby helping scientists, clinical investigators, public health officials, and funding agencies prioritize the most promising compounds and repurposed drugs for further development.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Antiviral Agents
/
Pneumonia, Viral
/
Databases, Factual
/
Coronavirus Infections
/
Betacoronavirus
Type of study:
Prognostic study
/
Randomized controlled trials
Topics:
Traditional medicine
Limits:
Animals
/
Humans
Language:
English
Year:
2020
Document Type:
Article
Affiliation country:
V12091006
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