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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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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. |
format | Online Article Text |
id | pubmed-8739820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hanaitoshihiko quantitativeinsilicoanalysisofsarscov2srbdomicronmutanttransmissibility |