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Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation

The present study aimed to identify potential SARS-CoV-2 inhibitory peptides from tuna protein by virtual screening. The molecular docking was performed to elicit the interaction mechanism between targets (M(pro) and ACE2) and peptides. As a result, a potential antiviral peptide EEAGGATAAQIEM (E-M)...

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Autores principales: Yu, Zhipeng, Kan, Ruotong, Ji, Huizhuo, Wu, Sijia, Zhao, Wenzhu, Shuian, David, Liu, Jingbo, Li, Jianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553880/
https://www.ncbi.nlm.nih.gov/pubmed/33092925
http://dx.doi.org/10.1016/j.foodchem.2020.128366
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author Yu, Zhipeng
Kan, Ruotong
Ji, Huizhuo
Wu, Sijia
Zhao, Wenzhu
Shuian, David
Liu, Jingbo
Li, Jianrong
author_facet Yu, Zhipeng
Kan, Ruotong
Ji, Huizhuo
Wu, Sijia
Zhao, Wenzhu
Shuian, David
Liu, Jingbo
Li, Jianrong
author_sort Yu, Zhipeng
collection PubMed
description The present study aimed to identify potential SARS-CoV-2 inhibitory peptides from tuna protein by virtual screening. The molecular docking was performed to elicit the interaction mechanism between targets (M(pro) and ACE2) and peptides. As a result, a potential antiviral peptide EEAGGATAAQIEM (E-M) was identified. Molecular docking analysis revealed that E-M could interact with residues Thr190, Thr25, Thr26, Ala191, Leu50, Met165, Gln189, Glu166, His164, His41, Cys145, Gly143, and Asn119 of M(pro) via 11 conventional hydrogen bonds, 9 carbon hydrogen bonds, and one alkyl interaction. The formation of hydrogen bonds between peptide E-M and the residues Gly143 and Gln189 of M(pro) may play important roles in inhibiting the activity of M(pro). Besides, E-M could bind with the residues His34, Phe28, Thr27, Ala36, Asp355, Glu37, Gln24, Ser19, Tyr83, and Tyr41 of ACE2. Hydrogen bonds and electrostatic interactions may play vital roles in blocking the receptor ACE2 binding with SARS-CoV-2.
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spelling pubmed-75538802020-10-14 Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation Yu, Zhipeng Kan, Ruotong Ji, Huizhuo Wu, Sijia Zhao, Wenzhu Shuian, David Liu, Jingbo Li, Jianrong Food Chem Article The present study aimed to identify potential SARS-CoV-2 inhibitory peptides from tuna protein by virtual screening. The molecular docking was performed to elicit the interaction mechanism between targets (M(pro) and ACE2) and peptides. As a result, a potential antiviral peptide EEAGGATAAQIEM (E-M) was identified. Molecular docking analysis revealed that E-M could interact with residues Thr190, Thr25, Thr26, Ala191, Leu50, Met165, Gln189, Glu166, His164, His41, Cys145, Gly143, and Asn119 of M(pro) via 11 conventional hydrogen bonds, 9 carbon hydrogen bonds, and one alkyl interaction. The formation of hydrogen bonds between peptide E-M and the residues Gly143 and Gln189 of M(pro) may play important roles in inhibiting the activity of M(pro). Besides, E-M could bind with the residues His34, Phe28, Thr27, Ala36, Asp355, Glu37, Gln24, Ser19, Tyr83, and Tyr41 of ACE2. Hydrogen bonds and electrostatic interactions may play vital roles in blocking the receptor ACE2 binding with SARS-CoV-2. Elsevier Ltd. 2021-04-16 2020-10-14 /pmc/articles/PMC7553880/ /pubmed/33092925 http://dx.doi.org/10.1016/j.foodchem.2020.128366 Text en © 2020 Elsevier Ltd. 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
Yu, Zhipeng
Kan, Ruotong
Ji, Huizhuo
Wu, Sijia
Zhao, Wenzhu
Shuian, David
Liu, Jingbo
Li, Jianrong
Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_full Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_fullStr Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_full_unstemmed Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_short Identification of tuna protein-derived peptides as potent SARS-CoV-2 inhibitors via molecular docking and molecular dynamic simulation
title_sort identification of tuna protein-derived peptides as potent sars-cov-2 inhibitors via molecular docking and molecular dynamic simulation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7553880/
https://www.ncbi.nlm.nih.gov/pubmed/33092925
http://dx.doi.org/10.1016/j.foodchem.2020.128366
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