Identification of natural peptides from "PlantPepDB" database as anti-SARS-CoV-2 agents: A protein-protein docking approach
| dc.contributor.author | Bhandu Priyanka | |
| dc.contributor.author | Verma Himanshu | |
| dc.contributor.author | Raju Baddipadige | |
| dc.contributor.author | Narendra Gera | |
| dc.contributor.author | Choudhary Shalki | |
| dc.contributor.author | Singh Manmeet | |
| dc.contributor.author | Singh Pankaj Kumar | |
| dc.contributor.author | Silakari Om | |
| dc.contributor.organization | fi=biolääketieteen laitos|en=Institute of Biomedicine| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.77952289591 | |
| dc.converis.publication-id | 179280220 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/179280220 | |
| dc.date.accessioned | 2025-08-28T00:42:59Z | |
| dc.date.available | 2025-08-28T00:42:59Z | |
| 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.eissn | 2667-0313 | |
| dc.identifier.olddbid | 206265 | |
| dc.identifier.oldhandle | 10024/189292 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/45263 | |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S2667031323000428?via%3Dihub | |
| dc.identifier.urn | URN:NBN:fi-fe2023042238198 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Singh, Pankaj | |
| dc.okm.discipline | 3111 Biomedicine | en_GB |
| dc.okm.discipline | 3111 Biolääketieteet | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | Elsevier | |
| dc.publisher.country | Netherlands | en_GB |
| dc.publisher.country | Alankomaat | fi_FI |
| dc.publisher.country-code | NL | |
| dc.relation.articlenumber | 100446 | |
| dc.relation.doi | 10.1016/j.phyplu.2023.100446 | |
| dc.relation.ispartofjournal | Phytomedicine Plus | |
| dc.relation.issue | 2 | |
| dc.relation.volume | 3 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/189292 | |
| dc.title | Identification of natural peptides from "PlantPepDB" database as anti-SARS-CoV-2 agents: A protein-protein docking approach | |
| dc.year.issued | 2023 |
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