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Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface
With the advancement of the Covid-19 pandemic, this work aims to find molecules that can inhibit the attraction between the Spike proteins of the SARS-COV-2 virus and human ACE2. The results of molecular docking positioned four molecules at the interaction site Tyr-491(Spike)-Glu-37(ACE2) and one at...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870108/ https://www.ncbi.nlm.nih.gov/pubmed/33583954 http://dx.doi.org/10.1016/j.molstruc.2021.130076 |
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author | Faria, Sergio H.D.M. Teleschi, João G. |
author_facet | Faria, Sergio H.D.M. Teleschi, João G. |
author_sort | Faria, Sergio H.D.M. |
collection | PubMed |
description | With the advancement of the Covid-19 pandemic, this work aims to find molecules that can inhibit the attraction between the Spike proteins of the SARS-COV-2 virus and human ACE2. The results of molecular docking positioned four molecules at the interaction site Tyr-491(Spike)-Glu-37(ACE2) and one at the site Gly-488(Spike)-Lys-353(ACE2). The QTAIM and IQA data showed that the 1629 molecule had a significant inhibitory effect on the Gly488-Ly353 site, decreasing the Laplacian of the electronic density of the BCP O(4)-N(10). The molecule 2542 showed an inhibitory effect in two regions of interaction of the Tyr491-Glu37 site, acting on the BCPs H(30)-H(33) and O(8)-H(31) while the ligand 2600, in conformation 26, presented a similar effect only on the BCP O(8)-H(31) of that same interactive site. Thus, the data suggest laboratory tests of a combination of molecules that can act at two sites of interaction simultaneously, using the combination of 1629/2542 and 1629/2600 ligands. |
format | Online Article Text |
id | pubmed-7870108 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78701082021-02-09 Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface Faria, Sergio H.D.M. Teleschi, João G. J Mol Struct Article With the advancement of the Covid-19 pandemic, this work aims to find molecules that can inhibit the attraction between the Spike proteins of the SARS-COV-2 virus and human ACE2. The results of molecular docking positioned four molecules at the interaction site Tyr-491(Spike)-Glu-37(ACE2) and one at the site Gly-488(Spike)-Lys-353(ACE2). The QTAIM and IQA data showed that the 1629 molecule had a significant inhibitory effect on the Gly488-Ly353 site, decreasing the Laplacian of the electronic density of the BCP O(4)-N(10). The molecule 2542 showed an inhibitory effect in two regions of interaction of the Tyr491-Glu37 site, acting on the BCPs H(30)-H(33) and O(8)-H(31) while the ligand 2600, in conformation 26, presented a similar effect only on the BCP O(8)-H(31) of that same interactive site. Thus, the data suggest laboratory tests of a combination of molecules that can act at two sites of interaction simultaneously, using the combination of 1629/2542 and 1629/2600 ligands. Elsevier B.V. 2021-05-15 2021-02-08 /pmc/articles/PMC7870108/ /pubmed/33583954 http://dx.doi.org/10.1016/j.molstruc.2021.130076 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Faria, Sergio H.D.M. Teleschi, João G. Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface |
title | Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface |
title_full | Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface |
title_fullStr | Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface |
title_full_unstemmed | Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface |
title_short | Computational search for drug repurposing to identify potential inhibitors against SARS-COV-2 using Molecular Docking, QTAIM and IQA methods in viral Spike protein – Human ACE2 interface |
title_sort | computational search for drug repurposing to identify potential inhibitors against sars-cov-2 using molecular docking, qtaim and iqa methods in viral spike protein – human ace2 interface |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7870108/ https://www.ncbi.nlm.nih.gov/pubmed/33583954 http://dx.doi.org/10.1016/j.molstruc.2021.130076 |
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