» Articles » PMID: 32969333

Repurposing of the Approved Small Molecule Drugs in Order to Inhibit SARS-CoV-2 S Protein and Human ACE2 Interaction Through Virtual Screening Approaches

Overview
Date 2020 Sep 24
PMID 32969333
Citations 29
Authors
Affiliations
Soon will be listed here.
Abstract

Most recently, the new coronavirus (SARS-CoV-2) has been recognized as a pandemic by the World Health Organization (WHO) while this virus shares substantial similarity with SARS-CoV. So far, no definitive vaccine or drug has been developed to cure Covid-19 disease, since many important aspects about Covid-19 such as pathogenesis and proliferation pathways are still unclear. It was proven that human ACE2 is the main receptor for the entry of Covid-19 into lower respiratory tract epithelial cells through interaction with SARS-CoV-2 S protein. Based on this observation, it is expected that the virus infection can be inhibited if protein-protein interaction is prevented. In this study, using structure-based virtual screening of FDA databases, several lead drugs were discovered based on the ACE2-binding pocket of SARS-CoV-2 S protein. Then, binding affinity, binding modes, critical interactions, and pharmaceutical properties of the lead drugs were evaluated. Among the previously approved drugs, Diammonium Glycyrrhizinate, Digitoxin, Ivermectin, Rapamycin, Rifaximin, and Amphotericin B represented the most desirable features, and can be possible candidates for Covid-19 therapies. Furthermore, molecular dynamics (MD) simulation was accomplished for three S protein/drug complexes with the highest binding affinity and best conformation and binding free energies were also computed with the Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA) method. Results demonstrated the stable binding of these compounds to the S protein; however, in order to confirm the curative effect of these drugs, clinical trials must be done.

Citing Articles

Predictive Insights Into Bioactive Compounds from Streptomyces as Inhibitors of SARS-CoV-2 Mutant Strains by Receptor Binding Domain: Molecular Docking and Dynamics Simulation Approaches.

Kalhor H, Mokhtarian M, Rahimi H, Shahbazi B, Kalhor R, Komeili Movahed T Iran J Pharm Res. 2025; 23(1):e150879.

PMID: 40066112 PMC: 11892749. DOI: 10.5812/ijpr-150879.


Exploring the Mechanism of Asiatic Acid against Atherosclerosis Based on Molecular Docking, Molecular Dynamics, and Experimental Verification.

Wu Z, Yang L, Wang R, Yang J, Liang P, Ren W Pharmaceuticals (Basel). 2024; 17(7).

PMID: 39065817 PMC: 11279847. DOI: 10.3390/ph17070969.


Biophysical Analysis of Potential Inhibitors of SARS-CoV-2 Cell Recognition and Their Effect on Viral Dynamics in Different Cell Types: A Computational Prediction from In Vitro Experimental Data.

Gonzalez-Paz L, Lossada C, Hurtado-Leon M, Vera-Villalobos J, Paz J, Marrero-Ponce Y ACS Omega. 2024; 9(8):8923-8939.

PMID: 38434903 PMC: 10905729. DOI: 10.1021/acsomega.3c06968.


SARS-CoV-2 mechanisms of cell tropism in various organs considering host factors.

Behboudi E, Nooreddin Faraji S, Daryabor G, Hashemi S, Asadi M, Edalat F Heliyon. 2024; 10(4):e26577.

PMID: 38420467 PMC: 10901034. DOI: 10.1016/j.heliyon.2024.e26577.


Microfluidic Diffusion Sizing Applied to the Study of Natural Products and Extracts That Modulate the SARS-CoV-2 Spike RBD/ACE2 Interaction.

Fauquet J, Carette J, Duez P, Zhang J, Nachtergael A Molecules. 2023; 28(24).

PMID: 38138562 PMC: 10745392. DOI: 10.3390/molecules28248072.


References
1.
Ito M, Sato A, Hirabayashi K, Tanabe F, Shigeta S, Baba M . Mechanism of inhibitory effect of glycyrrhizin on replication of human immunodeficiency virus (HIV). Antiviral Res. 1988; 10(6):289-98. DOI: 10.1016/0166-3542(88)90047-2. View

2.
Morris G, Huey R, Lindstrom W, Sanner M, Belew R, Goodsell D . AutoDock4 and AutoDockTools4: Automated docking with selective receptor flexibility. J Comput Chem. 2009; 30(16):2785-91. PMC: 2760638. DOI: 10.1002/jcc.21256. View

3.
Oliveira O, Rocha G, Paluch A, Costa L . Repurposing approved drugs as inhibitors of SARS-CoV-2 S-protein from molecular modeling and virtual screening. J Biomol Struct Dyn. 2020; 39(11):3924-3933. PMC: 7284156. DOI: 10.1080/07391102.2020.1772885. View

4.
Jin Z, Du X, Xu Y, Deng Y, Liu M, Zhao Y . Structure of M from SARS-CoV-2 and discovery of its inhibitors. Nature. 2020; 582(7811):289-293. DOI: 10.1038/s41586-020-2223-y. View

5.
Bussi G, Donadio D, Parrinello M . Canonical sampling through velocity rescaling. J Chem Phys. 2007; 126(1):014101. DOI: 10.1063/1.2408420. View