CORona Drug InTEractions database
Structural insights into the binding modes of viral RNA-dependent RNA polymerases using a function-site interaction fingerprint method for RNA virus drug discovery
Zheng Zhao, Phil Bourne
Abstract
The COVID-19 pandemic speaks to the need for drugs that are not only effective but also remain so given the mutation rate of COVID-19. To this end, we describe a strategy to design potential drugs that target RNA-dependent RNA polymerase (RDRP), a common conserved component of RNA viruses. We combine an RDRP structure dataset and all RDRP-ligand interaction fingerprints into an RDRP-targeted drug discovery procedure. In so doing we reveal the ligand-binding modes and RDRP structural characteristics. Specifically, four types of binding modes with corresponding binding pockets were determined, suggesting two major potential sub-pockets available for drug discovery. We screened a drug dataset of approximately 8,000 compounds against these binding pockets and presented the top ten small molecules as a starting point in further exploring the prevention of virus replication. In summary, the binding characteristics determined here help rationalize RDRP targeted drug discovery and provide insights into the specific binding mechanisms.
Source: ChemRxiv
Related molecules
Related interactions
Target | Target affiliation | Drug | Type | Result |
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Target | Target affiliation | Drug | Type | Result |
Name | Synonyms | Genes | Origin |
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Name | Synonyms | Genes | Origin |
Name | Synonyms | PubChem | DrugBank | RCSB PDB | ATC |
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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 |
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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