Cargando…
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...
Autores principales: | , |
---|---|
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 |
_version_ | 1783631292571582464 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7779244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT jomhorimasume molecularmodelingofnaturalandsynthesizedinhibitorsagainstsarscov2spikeglycoprotein AT mosaddeghihamid molecularmodelingofnaturalandsynthesizedinhibitorsagainstsarscov2spikeglycoprotein |