Identification of natural peptides from "PlantPepDB" database as anti-SARS-CoV-2 agents: A protein-protein docking approach

dc.contributor.authorBhandu Priyanka
dc.contributor.authorVerma Himanshu
dc.contributor.authorRaju Baddipadige
dc.contributor.authorNarendra Gera
dc.contributor.authorChoudhary Shalki
dc.contributor.authorSingh Manmeet
dc.contributor.authorSingh Pankaj Kumar
dc.contributor.authorSilakari Om
dc.contributor.organizationfi=biolääketieteen laitos|en=Institute of Biomedicine|
dc.contributor.organization-code1.2.246.10.2458963.20.77952289591
dc.converis.publication-id179280220
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/179280220
dc.date.accessioned2025-08-28T00:42:59Z
dc.date.available2025-08-28T00:42:59Z
dc.description.abstract<p>Background</p><p>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.<br></p><p>Method</p><p>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.<br></p><p>Results</p><p>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.<br></p><p>Conclusions</p><p>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.</p>
dc.identifier.eissn2667-0313
dc.identifier.olddbid206265
dc.identifier.oldhandle10024/189292
dc.identifier.urihttps://www.utupub.fi/handle/11111/45263
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S2667031323000428?via%3Dihub
dc.identifier.urnURN:NBN:fi-fe2023042238198
dc.language.isoen
dc.okm.affiliatedauthorSingh, Pankaj
dc.okm.discipline3111 Biomedicineen_GB
dc.okm.discipline3111 Biolääketieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.articlenumber100446
dc.relation.doi10.1016/j.phyplu.2023.100446
dc.relation.ispartofjournalPhytomedicine Plus
dc.relation.issue2
dc.relation.volume3
dc.source.identifierhttps://www.utupub.fi/handle/10024/189292
dc.titleIdentification of natural peptides from "PlantPepDB" database as anti-SARS-CoV-2 agents: A protein-protein docking approach
dc.year.issued2023

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