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Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility

Covid-19 variants transmissibility was quantitatively analyzed in silico to understand the reaction mechanisms and to find the reaction inhibitors. Especially, SARS-CoV-2 omicron mutant (omicron S-RBD) binding affinity with human angiotensin-converting enzyme-2 (ACE-2) was quantitatively analyzed us...

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Autor principal: Hanai, Toshihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739820/
https://www.ncbi.nlm.nih.gov/pubmed/35026638
http://dx.doi.org/10.1016/j.talanta.2022.123206
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author Hanai, Toshihiko
author_facet Hanai, Toshihiko
author_sort Hanai, Toshihiko
collection PubMed
description Covid-19 variants transmissibility was quantitatively analyzed in silico to understand the reaction mechanisms and to find the reaction inhibitors. Especially, SARS-CoV-2 omicron mutant (omicron S-RBD) binding affinity with human angiotensin-converting enzyme-2 (ACE-2) was quantitatively analyzed using molecular interaction (MI) energy values (kcal(.)mol(−1)) between the S-RBD and ACE-2. The MI of their optimized complex structures demonstrated that omicron's MI value (749.8) was 1.4 times delta MI (538.1) and 2.7 times alfa MI (276.9). The omicron S-RBD demonstrated the most vital transmissible strength. The 14 currently proposed medical treatment compounds did not show as the inhibitors to block the omicron S-RBD and ACE-2 binding; instead, they adsorbed at the ACE-2 active site and may inhibit the ACE-2 activity. A modified candidate (Gallo catechin gallate) whose two phenolic hydroxy groups were replaced with two carboxy groups was repulsed from ACE-2, indicating that further modification of medical treatment candidates may produce an effective docking inhibitor.
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spelling pubmed-87398202022-01-07 Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility Hanai, Toshihiko Talanta Article Covid-19 variants transmissibility was quantitatively analyzed in silico to understand the reaction mechanisms and to find the reaction inhibitors. Especially, SARS-CoV-2 omicron mutant (omicron S-RBD) binding affinity with human angiotensin-converting enzyme-2 (ACE-2) was quantitatively analyzed using molecular interaction (MI) energy values (kcal(.)mol(−1)) between the S-RBD and ACE-2. The MI of their optimized complex structures demonstrated that omicron's MI value (749.8) was 1.4 times delta MI (538.1) and 2.7 times alfa MI (276.9). The omicron S-RBD demonstrated the most vital transmissible strength. The 14 currently proposed medical treatment compounds did not show as the inhibitors to block the omicron S-RBD and ACE-2 binding; instead, they adsorbed at the ACE-2 active site and may inhibit the ACE-2 activity. A modified candidate (Gallo catechin gallate) whose two phenolic hydroxy groups were replaced with two carboxy groups was repulsed from ACE-2, indicating that further modification of medical treatment candidates may produce an effective docking inhibitor. Elsevier B.V. 2022-04-01 2022-01-07 /pmc/articles/PMC8739820/ /pubmed/35026638 http://dx.doi.org/10.1016/j.talanta.2022.123206 Text en © 2022 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
Hanai, Toshihiko
Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility
title Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility
title_full Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility
title_fullStr Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility
title_full_unstemmed Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility
title_short Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility
title_sort quantitative in silico analysis of sars-cov-2 s-rbd omicron mutant transmissibility
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739820/
https://www.ncbi.nlm.nih.gov/pubmed/35026638
http://dx.doi.org/10.1016/j.talanta.2022.123206
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