Identification of potential agonist-like molecules for α2-adrenergic receptor by multi-layer virtual screening to combat sinusitis.

Molecular dynamics simulations Sinusitis Structure-based virtual screening α2-adrenergic receptor

Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 13 06 2023
revised: 24 10 2023
accepted: 06 11 2023
medline: 27 11 2023
pubmed: 18 11 2023
entrez: 17 11 2023
Statut: ppublish

Résumé

Sinusitis is one of the most common respiratory inflammatory conditions and a significant health issue that affects millions of people worldwide with a global prevalence of 10-15%. The side effects of available drug regimens of sinus infection demand the urgent development of new drug candidates to combat sinusitis. With the aim of identifying new drug-like candidates to control sinus, we have conducted multifold comprehensive screening of drug-like molecules targeting α2-adrenergic receptor (α2-AR), which serve as the primary drug target in sinusitis. By structure-based virtual screening of in-house compound's database, ten molecules (CP1-CP10) with agonistic effects for α2-AR were selected, and their binding mechanism with critical residues of α2-AR and their physicochemical properties were studied. Moreover, the process of receptor activation by these compounds and the conformational changes in α2-AR caused by these molecules, were further explored by molecular dynamic simulation. The MM-PBSA estimated free energies of compounds are higher than that of reference agonist (ΔG

Identifiants

pubmed: 37976818
pii: S0010-4825(23)01158-7
doi: 10.1016/j.compbiomed.2023.107693
pii:
doi:

Substances chimiques

Receptors, Adrenergic, alpha-2 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

107693

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Sobia Ahsan Halim (SA)

Natural and Medical Sciences Research Center, University of Nizwa, Birkat Al-Mouz, Nizwa, 616, Oman. Electronic address: sobia_halim@unizwa.edu.om.

Muhammad Waqas (M)

Natural and Medical Sciences Research Center, University of Nizwa, Birkat Al-Mouz, Nizwa, 616, Oman; Department of Biotechnology and Genetic Engineering, Hazara University Mansehra, Dhodial, 21120, Pakistan.

Ajmal Khan (A)

Natural and Medical Sciences Research Center, University of Nizwa, Birkat Al-Mouz, Nizwa, 616, Oman.

Hanan A Ogaly (HA)

Chemistry Department, College of Science, King Khalid University, Abha, 61421, Saudi Arabia.

Gehan Othman (G)

Biology Department, College of Science, King Khalid University, Abha, 61421, Saudi Arabia.

Ahmed Al-Harrasi (A)

Natural and Medical Sciences Research Center, University of Nizwa, Birkat Al-Mouz, Nizwa, 616, Oman. Electronic address: aharrasi@unizwa.edu.om.

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Classifications MeSH