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Discovery of a new generation of angiotensin receptor blocking drugs: Receptor mechanisms and in silico binding to enzymes relevant to SARS-CoV-2

Authors :
Harry Ridgway
Graham J. Moore
Thomas Mavromoustakos
Sotirios Tsiodras
Irene Ligielli
Konstantinos Kelaidonis
Christos T. Chasapis
Laura Kate Gadanec
Anthony Zulli
Vasso Apostolopoulos
Russell Petty
Ioannis Karakasiliotis
Vassilis G. Gorgoulis
John M. Matsoukas
Source :
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 2091-2111 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

The discovery and facile synthesis of a new class of sartan-like arterial antihypertensive drugs (angiotensin receptor blockers [ARBs]), subsequently referred to as “bisartans” is reported. In vivo results and complementary molecular modelling presented in this communication indicate bisartans may be beneficial for the treatment of not only heart disease, diabetes, renal dysfunction, and related illnesses, but possibly COVID-19. Bisartans are novel bis-alkylated imidazole sartan derivatives bearing dual symmetric anionic biphenyl tetrazole moieties. In silico docking and molecular dynamics studies revealed bisartans exhibited higher binding affinities for the ACE2/spike protein complex (PDB 6LZG) compared to all other known sartans. They also underwent stable docking to the Zn2+ domain of the ACE2 catalytic site as well as the critical interfacial region between ACE2 and the SARS-CoV-2 receptor binding domain. Additionally, semi-stable docking of bisartans at the arginine-rich furin-cleavage site of the SARS-CoV-2 spike protein (residues 681–686) required for virus entry into host cells, suggest bisartans may inhibit furin action thereby retarding viral entry into host cells. Bisartan tetrazole groups surpass nitrile, the pharmacophoric “warhead” of PF-07321332, in its ability to disrupt the cysteine charge relay system of 3CLpro. However, despite the apparent targeting of multifunctional sites, bisartans do not inhibit SARS-CoV-2 infection in bioassays as effectively as PF-07321332 (Paxlovid).

Details

Language :
English
ISSN :
20010370
Volume :
20
Issue :
2091-2111
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.273711c046740748e8c42638b922ec3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2022.04.010