CORona Drug InTEractions database

Repurposing of clinically approved drugs for treatment of coronavirus disease 2019 in a 2019-novel coronavirus (2019-nCoV) related coronavirus model.

Fan HH, Wang LQ, Liu WL, An XP, Liu ZD, He XQ, Song LH, Tong YG

Abstract

Medicines for the treatment of 2019-novel coronavirus (2019-nCoV) infections are urgently needed. However, drug screening using live 2019-nCoV requires high-level biosafety facilities, which imposes an obstacle for those without such facilities or 2019-novel coronavirus (2019-nCoV). This study aims to repurpose the clinically approved drugs for the treatment of coronavirus disease 2019 (COVID-19) in a 2019-nCoV related coronavirus model.

Source: PubMed

Related molecules

Name	Synonyms	Genes
Mefloquine hydrochloride
Angiotensin-converting enzyme 2	ACE-related carboxypeptidase, ACE2	ACE2
Selamectin
Cepharanthine	CEP

Related interactions

Target	Drug	Type	Result
Angiotensin-converting enzyme 2	Cepharanthine
Angiotensin-converting enzyme 2	Mefloquine hydrochloride
Angiotensin-converting enzyme 2	Selamectin

Target	Target affiliation	Drug	Type	Result
Target	Target affiliation	Drug	Type	Result

Name	Synonyms	Genes	Origin
Name	Synonyms	Genes	Origin

Name	Synonyms	PubChem	DrugBank	RCSB PDB	ATC
Name	Synonyms	PubChem	DrugBank	RCSB PDB	ATC

Title	Authors	DOI	Source	Article type	Date
Title	Authors	DOI	Source	Article type	Date

Title	Status	Phases	Start Date	Prim. Comp. Date	Comp. Date	First Post. Date
Title	Status	Phases	Start Date	Prim. Comp. Date	Comp. Date	First Post. Date

CORDITE (CORona Drug InTEractions database) collects and aggregates data from PubMed, MedRxiv, BioRxiv, ChemRxiv and PMC for SARS-CoV-2. Its main focus is set on drug interactions either addressing viral proteins or human proteins that could be used to treat COVID. It collects and provides up-to-date information on computational predictions, in vitro, as well as in vivo study data.

The information provided is for research only and we cannot guarantee the correctness of the data.

Please contact dominik.heider@uni-muenster.de for further information.

Programmable access

There is an open API for access programmatically to the database. The API will print a JSON output:

Interactions

https://cordite-api.uni-muenster.de/api.php?action=list&table=interaction

Targets

https://cordite-api.uni-muenster.de/api.php?action=list&table=target

Drugs

https://cordite-api.uni-muenster.de/api.php?action=list&table=drug

Publications

https://cordite-api.uni-muenster.de/api.php?action=list&table=publication

Clinical trials

https://cordite-api.uni-muenster.de/api.php?action=list&table=clinical_trial