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Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation

BACKGROUND: Base mutations increase the contagiousness and transmissibility of the Delta and Lambda strains and lead to the severity of the COVID-19 pandemic. Molecular docking and molecular dynamics (MD) simulations are frequently used for drug discovery and relocation. Small molecular compounds fr...

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Autores principales: Han, Tiantian, Luo, Ziqing, Ji, Lichun, Wu, Peng, Li, Geng, Liu, Xiaohong, Lai, Yanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930647/
https://www.ncbi.nlm.nih.gov/pubmed/36817101
http://dx.doi.org/10.3389/fmicb.2022.1095068
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author Han, Tiantian
Luo, Ziqing
Ji, Lichun
Wu, Peng
Li, Geng
Liu, Xiaohong
Lai, Yanni
author_facet Han, Tiantian
Luo, Ziqing
Ji, Lichun
Wu, Peng
Li, Geng
Liu, Xiaohong
Lai, Yanni
author_sort Han, Tiantian
collection PubMed
description BACKGROUND: Base mutations increase the contagiousness and transmissibility of the Delta and Lambda strains and lead to the severity of the COVID-19 pandemic. Molecular docking and molecular dynamics (MD) simulations are frequently used for drug discovery and relocation. Small molecular compounds from Chinese herbs have an inhibitory effect on the virus. Therefore, this study used computational simulations to investigate the effects of small molecular compounds on the spike (S) protein and the binding between them and angiotensin-converting enzyme 2 (ACE2) receptors. METHODS: In this study, molecular docking, MD simulation, and protein–protein analysis were used to explore the medicinal target inhibition of Chinese herbal medicinal plant chemicals on SARS-CoV-2. 12,978 phytochemicals were screened against S proteins of SARS-CoV-2 Lambda and Delta mutants. RESULTS: Molecular docking showed that 65.61% and 65.28% of the compounds had the relatively stable binding ability to the S protein of Lambda and Delta mutants (docking score ≤ −6). The top five compounds with binding energy with Lambda and Delta mutants were clematichinenoside AR2 (−9.7), atratoglaucoside,b (−9.5), physalin b (−9.5), atratoglaucoside, a (−9.4), Ochnaflavone (−9.3) and neo-przewaquinone a (−10), Wikstrosin (−9.7), xilingsaponin A (−9.6), ardisianoside G (−9.6), and 23-epi-26-deoxyactein (−9.6), respectively. Four compounds (Casuarictin, Heterophylliin D, Protohypericin, and Glansrin B) could interact with S protein mutation sites of Lambda and Delta mutants, respectively, and MD simulation results showed that four plant chemicals and spike protein have good energy stable complex formation ability. In addition, protein–protein docking was carried out to evaluate the changes in ACE2 binding ability caused by the formation of four plant chemicals and S protein complexes. The analysis showed that the binding of four plant chemicals to the S protein could reduce the stability of the binding to ACE2, thereby reducing the replication ability of the virus. CONCLUSION: To sum up, the study concluded that four phytochemicals (Casuarictin, Heterophylliin D, Protohypericin, and Glansrin B) had significant effects on the binding sites of the SARS-CoV-2 S protein. This study needs further in vitro and in vivo experimental validation of these major phytochemicals to assess their potential anti-SARS-CoV-2.
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spelling pubmed-99306472023-02-16 Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation Han, Tiantian Luo, Ziqing Ji, Lichun Wu, Peng Li, Geng Liu, Xiaohong Lai, Yanni Front Microbiol Microbiology BACKGROUND: Base mutations increase the contagiousness and transmissibility of the Delta and Lambda strains and lead to the severity of the COVID-19 pandemic. Molecular docking and molecular dynamics (MD) simulations are frequently used for drug discovery and relocation. Small molecular compounds from Chinese herbs have an inhibitory effect on the virus. Therefore, this study used computational simulations to investigate the effects of small molecular compounds on the spike (S) protein and the binding between them and angiotensin-converting enzyme 2 (ACE2) receptors. METHODS: In this study, molecular docking, MD simulation, and protein–protein analysis were used to explore the medicinal target inhibition of Chinese herbal medicinal plant chemicals on SARS-CoV-2. 12,978 phytochemicals were screened against S proteins of SARS-CoV-2 Lambda and Delta mutants. RESULTS: Molecular docking showed that 65.61% and 65.28% of the compounds had the relatively stable binding ability to the S protein of Lambda and Delta mutants (docking score ≤ −6). The top five compounds with binding energy with Lambda and Delta mutants were clematichinenoside AR2 (−9.7), atratoglaucoside,b (−9.5), physalin b (−9.5), atratoglaucoside, a (−9.4), Ochnaflavone (−9.3) and neo-przewaquinone a (−10), Wikstrosin (−9.7), xilingsaponin A (−9.6), ardisianoside G (−9.6), and 23-epi-26-deoxyactein (−9.6), respectively. Four compounds (Casuarictin, Heterophylliin D, Protohypericin, and Glansrin B) could interact with S protein mutation sites of Lambda and Delta mutants, respectively, and MD simulation results showed that four plant chemicals and spike protein have good energy stable complex formation ability. In addition, protein–protein docking was carried out to evaluate the changes in ACE2 binding ability caused by the formation of four plant chemicals and S protein complexes. The analysis showed that the binding of four plant chemicals to the S protein could reduce the stability of the binding to ACE2, thereby reducing the replication ability of the virus. CONCLUSION: To sum up, the study concluded that four phytochemicals (Casuarictin, Heterophylliin D, Protohypericin, and Glansrin B) had significant effects on the binding sites of the SARS-CoV-2 S protein. This study needs further in vitro and in vivo experimental validation of these major phytochemicals to assess their potential anti-SARS-CoV-2. Frontiers Media S.A. 2023-02-01 /pmc/articles/PMC9930647/ /pubmed/36817101 http://dx.doi.org/10.3389/fmicb.2022.1095068 Text en Copyright © 2023 Han, Luo, Ji, Wu, Li, Liu and Lai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Han, Tiantian
Luo, Ziqing
Ji, Lichun
Wu, Peng
Li, Geng
Liu, Xiaohong
Lai, Yanni
Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_full Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_fullStr Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_full_unstemmed Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_short Identification of natural compounds as SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_sort identification of natural compounds as sars-cov-2 inhibitors via molecular docking and molecular dynamic simulation
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9930647/
https://www.ncbi.nlm.nih.gov/pubmed/36817101
http://dx.doi.org/10.3389/fmicb.2022.1095068
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