CORona Drug InTEractions database
Virtual Screening of FDA Approved Drugs Against Nsp15 Endoribonuclease from SARS CoV-2
Althaf Shaik, Nalini Natarajan, Sivapriya Kirubakaran, Vijay Thiruvenkatam
Abstract
This manuscript shows a detailed computational approach of carefully curated drugs that can potentially act against Nsp15, an endoribonuclease necessary for SARS-CoV2 multiplication. In our work, we have considered maximum resources available on Nsp15 including the recent crystal structure solution of the protein. Owing to the increase in demand for a cure for COVID-19, we have attempted to virtually screen an important target of SARS-CoV2 using the pre-existing FDA approved drugs. The main advantage of our work is our multi-step approach in validating our hits. We have performed initial High Throughput Virtual Screening (HTVS) of 2910 drugs. The top 20 hits were subjected to rigorous molecular docking and molecular dynamics simulations yielding a final number of 5 potential hits. In this global emergency, we have made a humble yet critical attempt by undertaking this work; we hope that our work once published may be of help in carrying out appropriate wet-lab work. We declare that this manuscript is original, has not been published before and is not currently being considered for publication elsewhere."
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