Identification of natural peptides from "PlantPepDB" database as anti-SARS-CoV-2 agents : A protein-protein docking approach
© 2023 Published by Elsevier B.V..
Background: A global pandemic owing to COVID-19 infection has created havoc in the entire world. The etiological agent responsible for this viral outbreak is classified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Still, there's no specific drug or preventive medication to treat SARS-CoV-2. This study was designed to demonstrate the efficacy of some anti-viral peptides obtained from a plant database i.e., PlantPepDB as potential ACE-2-Spike (S) protein complex neutralizers using a structure-based drug designing approach.
Method: A total of 83 anti-viral plant peptides were screened from a peptide database i.e. PlantPepDB based on their reported anti-viral activities against various viral strains. In order to screen peptides that may potentially interfere with ACE-2 and S complex formation, molecular docking studies were conducted using the flare module of Cresset software and subsequently, analysed the crucial interactions between the peptides and S complexes and ACE-2/S complex. Herein, the interactions and docking scores obtained for ACE-2/S complex were considered as references. The S-peptides complexes which displayed superior interactions and docking scores than reference complex i.e., ACE2-S were considered as final hits. The Molecular dynamics studies were conducted for a period of 30 ns for each of the final hit/S complex to understand the interaction stability and binding mechanism of designed peptides.
Results: The molecular docking results revealed that five peptides including Cycloviolacin Y3, Cycloviolacin Y1, White cloud bean defensin, Putative defensin 3.1, and Defensin D1 showed superior docking scores (i.e. -1372.5 kJ/mol to -1232.6 kJ/mol) when docked at the ACE2 binding site of S-protein than score obtained for the complex of ACE-2 and S protein i.e. -1183.4 kJ/mol. Moreover, these top five peptides manifested key interactions required to prevent the binding of S protein with ACE2. The molecular dynamics simulation study revealed that two of these five peptides i.e. Cycloviolacin Y3 and Cycloviolacin Y1 displayed minimal RMSD fluctuations.
Conclusions: The current structure-based drug-designing approach shows the possible role of anti-viral plant peptides as potential molecules to be explored at the initial stage of viral pathogenesis.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2023 |
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Erschienen: |
2023 |
Enthalten in: |
Zur Gesamtaufnahme - volume:3 |
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Enthalten in: |
Phytomedicine plus : international journal of phytotherapy and phytopharmacology - 3(2023), 2 vom: 06. Mai, Seite 100446 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Bhandu, Priyanka [VerfasserIn] |
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Links: |
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Themen: |
Journal Article |
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Anmerkungen: |
Date Revised 12.04.2023 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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doi: |
10.1016/j.phyplu.2023.100446 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM355379260 |
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100 | 1 | |a Bhandu, Priyanka |e verfasserin |4 aut | |
245 | 1 | 0 | |a Identification of natural peptides from "PlantPepDB" database as anti-SARS-CoV-2 agents |b A protein-protein docking approach |
264 | 1 | |c 2023 | |
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500 | |a Date Revised 12.04.2023 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a © 2023 Published by Elsevier B.V. | ||
520 | |a Background: A global pandemic owing to COVID-19 infection has created havoc in the entire world. The etiological agent responsible for this viral outbreak is classified as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Still, there's no specific drug or preventive medication to treat SARS-CoV-2. This study was designed to demonstrate the efficacy of some anti-viral peptides obtained from a plant database i.e., PlantPepDB as potential ACE-2-Spike (S) protein complex neutralizers using a structure-based drug designing approach | ||
520 | |a Method: A total of 83 anti-viral plant peptides were screened from a peptide database i.e. PlantPepDB based on their reported anti-viral activities against various viral strains. In order to screen peptides that may potentially interfere with ACE-2 and S complex formation, molecular docking studies were conducted using the flare module of Cresset software and subsequently, analysed the crucial interactions between the peptides and S complexes and ACE-2/S complex. Herein, the interactions and docking scores obtained for ACE-2/S complex were considered as references. The S-peptides complexes which displayed superior interactions and docking scores than reference complex i.e., ACE2-S were considered as final hits. The Molecular dynamics studies were conducted for a period of 30 ns for each of the final hit/S complex to understand the interaction stability and binding mechanism of designed peptides | ||
520 | |a Results: The molecular docking results revealed that five peptides including Cycloviolacin Y3, Cycloviolacin Y1, White cloud bean defensin, Putative defensin 3.1, and Defensin D1 showed superior docking scores (i.e. -1372.5 kJ/mol to -1232.6 kJ/mol) when docked at the ACE2 binding site of S-protein than score obtained for the complex of ACE-2 and S protein i.e. -1183.4 kJ/mol. Moreover, these top five peptides manifested key interactions required to prevent the binding of S protein with ACE2. The molecular dynamics simulation study revealed that two of these five peptides i.e. Cycloviolacin Y3 and Cycloviolacin Y1 displayed minimal RMSD fluctuations | ||
520 | |a Conclusions: The current structure-based drug-designing approach shows the possible role of anti-viral plant peptides as potential molecules to be explored at the initial stage of viral pathogenesis | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Plant peptides, Anti-viral peptides | |
650 | 4 | |a Protein-protein docking | |
650 | 4 | |a SARS-CoV-2 | |
700 | 1 | |a Verma, Himanshu |e verfasserin |4 aut | |
700 | 1 | |a Raju, Baddipadige |e verfasserin |4 aut | |
700 | 1 | |a Narendra, Gera |e verfasserin |4 aut | |
700 | 1 | |a Choudhary, Shalki |e verfasserin |4 aut | |
700 | 1 | |a Singh, Manmeet |e verfasserin |4 aut | |
700 | 1 | |a Singh, Pankaj Kumar |e verfasserin |4 aut | |
700 | 1 | |a Silakari, Om |e verfasserin |4 aut | |
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