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Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein

PURPOSE: Viral diseases increasingly endanger the world public health because of the transient efficacy of antiviral therapies. The novel coronavirus disease 2019 (COVID-19) has been recently identified as caused by a new type of coronaviruses. This type of coronavirus binds to the human receptor th...

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Autores principales: Jomhori, Masume, Mosaddeghi, Hamid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779244/
http://dx.doi.org/10.1007/s42600-020-00122-3
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author Jomhori, Masume
Mosaddeghi, Hamid
author_facet Jomhori, Masume
Mosaddeghi, Hamid
author_sort Jomhori, Masume
collection PubMed
description PURPOSE: Viral diseases increasingly endanger the world public health because of the transient efficacy of antiviral therapies. The novel coronavirus disease 2019 (COVID-19) has been recently identified as caused by a new type of coronaviruses. This type of coronavirus binds to the human receptor through the Spike glycoprotein (S) Receptor Binding Domain (RBD). The spike protein is found in inaccessible (closed) or accessible (open) conformations in which the accessible conformation causes severe infection. Thus, this receptor is a significant target for antiviral drug design. METHODS: An attempt was made to recognize 111 natural and synthesized compounds in order to utilize them against SARS-CoV-2 spike glycoprotein to inhibit Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using simulation methods, such as molecular docking. The FAF-Drugs3, Pan-Assay Interference Compounds (PAINS), ADME (absorption, distribution, metabolism, excretion) databases along with Lipinski’s rules were used to evaluate the drug-like properties of the identified ligands. In order to analyze and identify the residues critical in the docking process of the spike glycoprotein, the interactions of proposed ligands with both conformations of the spike glycoprotein was simulated. RESULTS: The results showed that among the available ligands, seven ligands had significant interactions with the binding site of the spike glycoprotein, in which angiotensin-converting enzyme 2 (ACE2) is bounded. Out of seven candidate molecules, six ligands exhibited drug-like characteristics. The results also demonstrated that fluorophenyl and propane groups of ligands had optimal interactions with the binding site of the spike glycoprotein. CONCLUSION: According to the results, our findings indicated the ability of six ligands to prevent the binding of the SARS-CoV-2 spike glycoprotein to its cognate receptor, providing novel compounds for the treatment of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42600-020-00122-3.
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spelling pubmed-77792442021-01-04 Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein Jomhori, Masume Mosaddeghi, Hamid Res. Biomed. Eng. Original Article PURPOSE: Viral diseases increasingly endanger the world public health because of the transient efficacy of antiviral therapies. The novel coronavirus disease 2019 (COVID-19) has been recently identified as caused by a new type of coronaviruses. This type of coronavirus binds to the human receptor through the Spike glycoprotein (S) Receptor Binding Domain (RBD). The spike protein is found in inaccessible (closed) or accessible (open) conformations in which the accessible conformation causes severe infection. Thus, this receptor is a significant target for antiviral drug design. METHODS: An attempt was made to recognize 111 natural and synthesized compounds in order to utilize them against SARS-CoV-2 spike glycoprotein to inhibit Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using simulation methods, such as molecular docking. The FAF-Drugs3, Pan-Assay Interference Compounds (PAINS), ADME (absorption, distribution, metabolism, excretion) databases along with Lipinski’s rules were used to evaluate the drug-like properties of the identified ligands. In order to analyze and identify the residues critical in the docking process of the spike glycoprotein, the interactions of proposed ligands with both conformations of the spike glycoprotein was simulated. RESULTS: The results showed that among the available ligands, seven ligands had significant interactions with the binding site of the spike glycoprotein, in which angiotensin-converting enzyme 2 (ACE2) is bounded. Out of seven candidate molecules, six ligands exhibited drug-like characteristics. The results also demonstrated that fluorophenyl and propane groups of ligands had optimal interactions with the binding site of the spike glycoprotein. CONCLUSION: According to the results, our findings indicated the ability of six ligands to prevent the binding of the SARS-CoV-2 spike glycoprotein to its cognate receptor, providing novel compounds for the treatment of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s42600-020-00122-3. Springer International Publishing 2021-01-04 2022 /pmc/articles/PMC7779244/ http://dx.doi.org/10.1007/s42600-020-00122-3 Text en © Sociedade Brasileira de Engenharia Biomedica 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Jomhori, Masume
Mosaddeghi, Hamid
Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
title Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
title_full Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
title_fullStr Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
title_full_unstemmed Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
title_short Molecular modeling of natural and synthesized inhibitors against SARS-CoV-2 spike glycoprotein
title_sort molecular modeling of natural and synthesized inhibitors against sars-cov-2 spike glycoprotein
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779244/
http://dx.doi.org/10.1007/s42600-020-00122-3
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