CORona Drug InTEractions database
Identification of Potential Inhibitors of SARS-CoV-2 Main Protease via a Rapid In-Silico Drug Repurposing Approach
Cesar Mendoza-Martinez, Alejandro Rodriguez-Lezama
Abstract
An in-silico drug repurposing study was carried out to search for potential COVID-19 antiviral agents. A dataset of 1615 FDA-approved drugs was docked in the active site of SARS CoV-2 Main protease. A subset of the top scoring hit compounds was subjected to follow-up molecular dynamics simulations to further characterise the predicted binding modes. The main findings are that the drugs Aliskiren, Capreomycin, Isovuconazonium, emerge as novel potential inhibitors. We also observed that Ceftolozane, Cobicistat, Carfilzomib and Saquinavir are well-ranked by our protocol, in agreement with other recent in silico drug repurposing studies, however MD simulations shows only potential for the three first, as Saquinavir exhibited an unstable binding mode. As many HIV-protease inhibitors has been reported as active and not active, Atazanavir and Lopinavir were included in the data set in order to rationalize the findings. In addition, our protocol ranked favourably Dronedarone suggesting that this recently reported SARS-CoV-2 inhibitor targets SARS-CoV-2 Main protease.
Source: ChemRxiv
Related molecules
Related interactions
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