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Potential antiviral peptides against the nucleoprotein of SARS-CoV-2

Nucleoprotein is a conserved structural protein of SARS-CoV-2, which is involved in several functions, including replication, packaging, and transcription. In this research, 21 antiviral peptides that are known to have inhibitory function against nucleoprotein in several other viruses, were screened...

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Autores principales: Mahdi, Iktedar, Yeasmin, Humyara, Hossain, Imtiaz, Badhan, Raina Masnoon, Ali, Md. Ackas, Kaium, Md. Abdul, Islam, Rajib, Sufian, Md. Abu, Halim, Mohammad A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Versita 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531640/
https://www.ncbi.nlm.nih.gov/pubmed/36213321
http://dx.doi.org/10.1007/s11696-022-02514-4
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author Mahdi, Iktedar
Yeasmin, Humyara
Hossain, Imtiaz
Badhan, Raina Masnoon
Ali, Md. Ackas
Kaium, Md. Abdul
Islam, Rajib
Sufian, Md. Abu
Halim, Mohammad A.
author_facet Mahdi, Iktedar
Yeasmin, Humyara
Hossain, Imtiaz
Badhan, Raina Masnoon
Ali, Md. Ackas
Kaium, Md. Abdul
Islam, Rajib
Sufian, Md. Abu
Halim, Mohammad A.
author_sort Mahdi, Iktedar
collection PubMed
description Nucleoprotein is a conserved structural protein of SARS-CoV-2, which is involved in several functions, including replication, packaging, and transcription. In this research, 21 antiviral peptides that are known to have inhibitory function against nucleoprotein in several other viruses, were screened computationally against the nucleoprotein of SARS-CoV-2. The complexes of five best performing peptides (AVP1142, AVP1145, AVP1148, AVP1150, AVP1155) with nucleoprotein were selected for subsequent screening via 5 ns molecular dynamics (MD) simulation. Two peptides, namely AVP1145 and AVP1155, came out as promising candidates and hence were selected for 200 ns MD simulation for further validation, incorporating a DMPC-based membrane environment. In the long MD simulation, both AVP1155 and AVP1145 utilized multiple residues—mainly aromatic, acidic, and nonpolar residues—as interacting points to remain in contact with the nucleoprotein and formed predominantly hydrogen bonds along with hydrophobic and electrostatic interactions. However, AVP1155 proved to be superior to AVP1145 when its complex with nucleoprotein was analyzed in terms of root-mean-square deviation, root-mean-square fluctuation, radius of gyration, solvent accessible surface area and free energy landscape. In a nutshell, the findings of this research may guide future studies in the development of selective peptide inhibitors of SARS-CoV-2 nucleoprotein. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11696-022-02514-4.
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spelling pubmed-95316402022-10-05 Potential antiviral peptides against the nucleoprotein of SARS-CoV-2 Mahdi, Iktedar Yeasmin, Humyara Hossain, Imtiaz Badhan, Raina Masnoon Ali, Md. Ackas Kaium, Md. Abdul Islam, Rajib Sufian, Md. Abu Halim, Mohammad A. Chem Zvesti Original Paper Nucleoprotein is a conserved structural protein of SARS-CoV-2, which is involved in several functions, including replication, packaging, and transcription. In this research, 21 antiviral peptides that are known to have inhibitory function against nucleoprotein in several other viruses, were screened computationally against the nucleoprotein of SARS-CoV-2. The complexes of five best performing peptides (AVP1142, AVP1145, AVP1148, AVP1150, AVP1155) with nucleoprotein were selected for subsequent screening via 5 ns molecular dynamics (MD) simulation. Two peptides, namely AVP1145 and AVP1155, came out as promising candidates and hence were selected for 200 ns MD simulation for further validation, incorporating a DMPC-based membrane environment. In the long MD simulation, both AVP1155 and AVP1145 utilized multiple residues—mainly aromatic, acidic, and nonpolar residues—as interacting points to remain in contact with the nucleoprotein and formed predominantly hydrogen bonds along with hydrophobic and electrostatic interactions. However, AVP1155 proved to be superior to AVP1145 when its complex with nucleoprotein was analyzed in terms of root-mean-square deviation, root-mean-square fluctuation, radius of gyration, solvent accessible surface area and free energy landscape. In a nutshell, the findings of this research may guide future studies in the development of selective peptide inhibitors of SARS-CoV-2 nucleoprotein. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11696-022-02514-4. Versita 2022-10-04 2023 /pmc/articles/PMC9531640/ /pubmed/36213321 http://dx.doi.org/10.1007/s11696-022-02514-4 Text en © Institute of Chemistry, Slovak Academy of Sciences 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. 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 Paper
Mahdi, Iktedar
Yeasmin, Humyara
Hossain, Imtiaz
Badhan, Raina Masnoon
Ali, Md. Ackas
Kaium, Md. Abdul
Islam, Rajib
Sufian, Md. Abu
Halim, Mohammad A.
Potential antiviral peptides against the nucleoprotein of SARS-CoV-2
title Potential antiviral peptides against the nucleoprotein of SARS-CoV-2
title_full Potential antiviral peptides against the nucleoprotein of SARS-CoV-2
title_fullStr Potential antiviral peptides against the nucleoprotein of SARS-CoV-2
title_full_unstemmed Potential antiviral peptides against the nucleoprotein of SARS-CoV-2
title_short Potential antiviral peptides against the nucleoprotein of SARS-CoV-2
title_sort potential antiviral peptides against the nucleoprotein of sars-cov-2
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531640/
https://www.ncbi.nlm.nih.gov/pubmed/36213321
http://dx.doi.org/10.1007/s11696-022-02514-4
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