Natural Products-based drug design from Bahia Semi-Arid region against SARS-CoV-2 Mpro (3Clpro)

19 August 2021, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), receives global attention due to the serious threat that affect public health. Since December 2019, its incidence affecting millions of patients and its rapid dissemination on a worldwide scale have led the searching for its treatment. To discover hit compounds that can be used alone or in combination with repositioned drugs, we initiated a structure-assisted drug design program including Virtual Screening, Docking, pharmacokinetic and toxicological analysis (ADMET) and Molecular Dynamics Simulation (MD) from Natural Products Database of the Bahia Semi-Arid region (NatProDB). We also aimed to identify novel scaffolds that target the SARS-CoV-2 Main Protease (Mpro, 3Clpro) since this protein plays a pivotal role in mediating viral replication and transcription, which makes it an attractive drug target for coronaviruses. Here, we selected 10 molecules that could be studied in vitro to lead discovery in response to this infectious diseases. The best SARS-CoV-2 Mpro complexes interactions revealed that some enzyme sites were accessed thereby confirming that this method can be employed as a suitable starting method for the identification of novel SARS-CoV-2 Mpro inhibitors. Two compounds (b01 and b02) suggest a better potential for interaction with SARS-CoV-2 main protease (Mpro) and could be further studied.

Keywords

COVID-19
SARS-CoV-2
Main Protease
NatProDB
Docking
SeeSAR
ADMET properties

Supplementary materials

Title
Description
Actions
Title
Supplementary material
Description
Docking and Molecular Dynamics data from Mpro simulations complexed with NatproDB compounds
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.