MbrlCatalogueTitleDetail

Do you wish to reserve the book?
Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches
Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches
Hey, we have placed the reservation for you!
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Title added to your shelf!
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches
Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches

Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
How would you like to get it?
We have requested the book for you! Sorry the robot delivery is not available at the moment
We have requested the book for you!
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches
Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches
Journal Article

Structure-Based Identification of Natural Products as SARS-CoV-2 M pro Antagonist from Echinacea angustifolia Using Computational Approaches

2021
Request Book From Autostore and Choose the Collection Method
Overview
Coronavirus disease-19 (COVID-19) pandemic, caused by the novel SARS-CoV-2 virus, continues to be a global threat. The number of cases and deaths will remain escalating due to the lack of effective therapeutic agents. Several studies have established the importance of the viral main protease (M ) in the replication of SARS-CoV-2 which makes it an attractive target for antiviral drug development, including pharmaceutical repurposing and other medicinal chemistry approaches. Identification of natural products with considerable inhibitory potential against SARS-CoV-2 could be beneficial as a rapid and potent alternative with drug-likeness by comparison to de novo antiviral drug discovery approaches. Thereof, we carried out the structure-based screening of natural products from , commonly used to prevent cold and other microbial respiratory infections, targeting SARS-CoV-2 M . Four natural products namely, Echinacoside, Quercetagetin 7-glucoside, Levan N, Inulin from chicory, and 1,3-Dicaffeoylquinic acid, revealed significant docking energy (>-10 kcal/mol) in the SARS-CoV-2 M catalytic pocket via substantial intermolecular contacts formation against co-crystallized ligand (<-4 kcal/mol). Furthermore, the docked poses of SARS-CoV-2 M with selected natural products showed conformational stability through molecular dynamics. Exploring the end-point net binding energy exhibited substantial contribution of Coulomb and van der Waals interactions to the stability of respective docked conformations. These results advocated the natural products from for further experimental studies with an elevated probability to discover the potent SARS-CoV-2 M antagonist with higher affinity and drug-likeness.