CORona Drug InTEractions database
In silico Potential of Approved Antimalarial Drugs for Repurposing Against COVID-19
Cheryl Sachdeva, Anju Wadhwa, Anita Kumari, Firasat Hussain, Preeti Jha, Naveen K. Kaushik
Abstract
Although the coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is wreaking havoc and resulting in mortality and morbidity across the planet, novel treatments are urgently needed. Drug repurposing offers an innovative approach in this context. We report here new findings on the in silico potential of several antimalarial drugs for repurposing against COVID-19. We conducted analyses by docking the compounds against two SARS-CoV-2–specific targets: (1) the receptor binding domain spike protein and (2) the main protease of the virus (MPro) using the Schrödinger software. Importantly, the docking analysis revealed that doxycycline (DOX) showed the most effective binding to the spike protein of SARS-CoV-2, whereas halofantrine and mefloquine bound effectively with the main protease among the antimalarial drugs evaluated in the present study. The in silico approach reported here suggested that DOX could potentially be a good candidate for repurposing for COVID-19. In contrast, to decipher the actual potential of DOX and halofantrine against COVID-19, further in vitro and in vivo studies are called for. Drug repurposing warrants consideration as a viable research and innovation avenue as planetary health efforts to fight the COVID-19 continue.
Source: PubMed
Related molecules
Related interactions
| Target | Drug | Type | Result |
|---|---|---|---|
| Spike glycoprotein | Doxycycline | ||
| 3C-like protease | Halofantrine | ||
| 3C-like protease | Mefloquine |
| 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