CORona Drug InTEractions database
In Silico Screening of Some Antiviral Phytochemicals as Drug Leads Against Covid-19
Monjur Ahmed Laskar, Moriom Begam, Manabendra Dutta Choudhury
Abstract
Background: COVID-19 caused by SARS-CoV-2 in December 2019 has become a pandemichazard to the community health. It is a respiratory difficulty causing fever, dry cough, fatigue,shortness of breath, muscle aches and some instances lead to pneumonia. Coronaviruses havelarge viral RNA Genomes and are single-stranded positive-sense RNA viruses. The nsp10/nsp16protein is an important target because it is essential for the virus to replicate, the papain-likeprotease (Nsp3), the main protease (Nsp5), the primary RNA-dependent RNA polymerase(Nsp12) are also attractive drug targets for this disease. The uses of phytochemicals astherapeutic agents have been increasing in recent years. Some antiviral phytochemicals weretaken based on literature survey for this study.Methods: ADME parameters and drug like nature of phytochemicals were screened usingSwissADME web tool. Three dimensional structures of targets are downloaded from ProteinData Bank and docked with phytochemicals & control by using software FlexX.Results: Morin shows significant results in ADME screening and Drug likeness predictionstudies, it shows stable bonding pattern with all four targets in compare to other phytochemicalsand control, shows least score in docking and forms maximum number of hydrogen bonds withthe active residues of the receptors.Conclusion: Based on present observation of docking results, ADME parameters and drug likenature, we suggest that morin may be a potent new drug candidate against Covid-19.
Source: ChemRxiv
Related molecules
Related interactions
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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