CORona Drug InTEractions database
In-silico drug repurposing for targeting SARS-CoV-2 main protease (Mpro)
Shilpa Sharma, Shashank Deep
Abstract
COVID-19, caused by novel coronavirus or SARS-CoV-2, is a viral disease which has infected millions worldwide. Considering the urgent need of the drug for fighting against this infectious disease, we have performed in-silico drug repurposing followed by molecular dynamics (MD) simulation and MM-GBSA calculation. The main protease (Mpro) is one of the best-characterized drug targets among coronaviruses, therefore, this was screened for already known FDA approved drugs and some natural compounds. Comparison of docking and MD simulation results of complexes of drugs with that of inhibitor N3 (experimentally obtained) suggests EGCG, withaferin, dolutegravir, artesunate as potential inhibitors of the main protease (Mpro). Further, in silico docking and MD simulation suggest that EGCG analogues ZINC21992196 and ZINC 169337541 may act as a better inhibitor.
Source: PubMed
Related molecules
Related interactions
| Target | Drug | Type | Result |
|---|---|---|---|
| 3C-like protease | Epigallocatechin gallate | ||
| 3C-like protease | Withaferin | ||
| 3C-like protease | Artesunate | ||
| 3C-like protease | Dolutegravir |
| 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