Exploring the structural and molecular interaction landscape of nirmatrelvir and Mpro complex: The study might assist in designing more potent antivirals targeting SARS-CoV-2 and other viruses.

Mpro-nirmatrelvir complex Nirmatrelvir SARS-CoV-2 Structural and molecular interaction landscape

Journal

Journal of infection and public health
ISSN: 1876-035X
Titre abrégé: J Infect Public Health
Pays: England
ID NLM: 101487384

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 10 06 2023
revised: 25 09 2023
accepted: 28 09 2023
medline: 27 11 2023
pubmed: 27 10 2023
entrez: 26 10 2023
Statut: ppublish

Résumé

Several therapeutics have been developed and approved against SARS-CoV-2 occasionally; nirmatrelvir is one of them. The drug target of nirmatrelvir is Mpro, and therefore, it is necessary to comprehend the structural and molecular interaction of the Mpro-nirmatrelvir complex. Integrative bioinformatics, system biology, and statistical models were used to analyze the macromolecular complex. Using two macromolecular complexes, the study illustrated the interactive residues, H-bonds, and interactive interfaces. It informed of six and nine H-bond formations for the first and second complex, respectively. The maximum bond length was observed as 3.33 Å. The ligand binding pocket's surface area and volume were noted as 303.485 Å Our study reveals the structural and molecular interaction landscape of Mpro-nirmatrelvir complex. The study will guide researchers in designing more broad-spectrum antiviral molecules mimicking nirmatrelvir, which assist in fighting against SARS-CoV-2 and other infectious viruses. It will also help to prepare for future epidemics or pandemics.

Sections du résumé

BACKGROUND BACKGROUND
Several therapeutics have been developed and approved against SARS-CoV-2 occasionally; nirmatrelvir is one of them. The drug target of nirmatrelvir is Mpro, and therefore, it is necessary to comprehend the structural and molecular interaction of the Mpro-nirmatrelvir complex.
METHODS METHODS
Integrative bioinformatics, system biology, and statistical models were used to analyze the macromolecular complex.
RESULTS RESULTS
Using two macromolecular complexes, the study illustrated the interactive residues, H-bonds, and interactive interfaces. It informed of six and nine H-bond formations for the first and second complex, respectively. The maximum bond length was observed as 3.33 Å. The ligand binding pocket's surface area and volume were noted as 303.485 Å
CONCLUSIONS CONCLUSIONS
Our study reveals the structural and molecular interaction landscape of Mpro-nirmatrelvir complex. The study will guide researchers in designing more broad-spectrum antiviral molecules mimicking nirmatrelvir, which assist in fighting against SARS-CoV-2 and other infectious viruses. It will also help to prepare for future epidemics or pandemics.

Identifiants

pubmed: 37883855
pii: S1876-0341(23)00327-1
doi: 10.1016/j.jiph.2023.09.020
pii:
doi:

Substances chimiques

Antiviral Agents 0
Lactams 0
Nitriles 0
Coronavirus 3C Proteases EC 3.4.22.28

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1961-1970

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

Auteurs

Chiranjib Chakraborty (C)

Department of Biotechnology, School of Life Science and Biotechnology, Adamas University, Kolkata, West Bengal 700126, India. Electronic address: drchiranjib@yahoo.com.

Manojit Bhattacharya (M)

Department of Zoology, Fakir Mohan University, Vyasa Vihar, Balasore 756020, Odisha, India.

Abdulrahman Alshammari (A)

Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh 11451, Saudi Arabia.

Metab Alharbi (M)

Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh 11451, Saudi Arabia.

Thamer H Albekairi (TH)

Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, Post Box 2455, Riyadh 11451, Saudi Arabia.

Chunfu Zheng (C)

Key Laboratory of Zoonose Prevention and Control at Universities of Inner Mongolia Autonomous Region, Medical College, Inner Mongolia Minzu University, Tongliao 028000, China; Department of Microbiology, Immunology & Infection Diseases, University of Calgary, Health Research Innovation Centre, 3330 Hospital Drive NW, Calgary, AB T2N 4N1, Canada. Electronic address: zheng.alan@hotmail.com.

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Classifications MeSH