CORona Drug InTEractions database
Identification of known drugs as potential SARS-CoV-2 Mpro inhibitors using ligand- and structure-based virtual screening.
Leonardo Bruno Federico, Guilherme Martins Silva, Lorane Izabel da Silva Hage-Melim, Suzane Quintana Gomes, Mariana Pegrucci Barcelos, Isaque Antônio Galindo Francischini, Carlos Henrique Tomich de Paula da Silva,
Abstract
Background: The new coronavirus pandemic has had a significant impact worldwide, and therapeutic treatment for this viral infection is being strongly pursued. Efforts have been undertaken by medicinal chemists to discover molecules or known drugs that may be effective in COVID-19 treatment - in particular, targeting the main protease (Mpro) of the virus. Materials & methods: We have employed an innovative strategy - application of ligand- and structure-based virtual screening - using a special compilation of an approved and diverse set of SARS-CoV-2 crystallographic complexes that was recently published. Results and conclusion: We identified seven drugs with different original indications that might act as potential Mpro inhibitors and may be preferable to other drugs that have been repurposed. These drugs will be experimentally tested to confirm their potential Mpro inhibition and thus their effectiveness against COVID-19.
Source: PubMed
Related molecules
Name | Synonyms | Genes |
---|---|---|
Metyrapone | ||
Rufinamide | ||
Zonisamide | ||
Lacosamide | ||
Apatinib | ||
Pramiracetam | ||
Felodipine | ||
3C-like protease | 3CLpro, Mpro, SARS coronavirus main peptidase, 3CLpro-SARS-CoV-2 | rep, ORF1a-1b |
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 |
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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