In Silico Analysis of Bacteriocins From Lactic Acid Bacteria Against SARS-CoV

dc.contributor.author Erol, Ismail
dc.contributor.author Kotil, Seyfullah Enes
dc.contributor.author Fidan, Ozkan
dc.contributor.author Yetiman, Ahmet E.
dc.contributor.author Durdagi, Serdar
dc.contributor.author Ortakci, Fatih
dc.date.accessioned 2025-09-25T10:48:46Z
dc.date.available 2025-09-25T10:48:46Z
dc.date.issued 2023
dc.description Ortakci, Fatih/0000-0002-7375-4546; Fidan, Ozkan/0000-0001-5312-4742; Yetiman, Ahmet E., Ahmet, A.E.;/0000-0001-8406-7226; Durdagi, Serdar/0000-0002-0426-0905 en_US
dc.description.abstract The COVID-19 pandemic caused by a novel coronavirus (SARS-CoV-2) is a serious health concern in the twenty-first century for scientists, health workers, and all humans. The absence of specific biotherapeutics requires new strategies to prevent the spread and prophylaxis of the novel virus and its variants. The SARS-CoV-2 virus shows pathogenesis by entering the host cells via spike protein and Angiotensin-Converting Enzyme 2 receptor protein. Thus, the present study aims to compute the binding energies between a wide range of bacteriocins with receptor-binding domain (RBD) on spike proteins of wild type (WT) and beta variant (lineage B.1.351). Molecular docking analyses were performed to evaluate binding energies. Upon achieving the best bio-peptides with the highest docking scores, further molecular dynamics (MD) simulations were performed to validate the structure and interaction stability. Protein-protein docking of the chosen 22 biopeptides with WT-RBD showed docking scores lower than -7.9 kcal/mol. Pediocin PA-1 and salivaricin P showed the lowest (best) docking scores of - 12 kcal/mol. Pediocin PA-1, salivaricin B, and salivaricin P showed a remarkable increase in the double mutant's predicted binding affinity with -13.8 kcal/mol, -13.0 kcal/mol, and -12.5 kcal/mol, respectively. Also, a better predicted binding affinity of pediocin PA-1 and salivaricin B against triple mutant was observed compared to the WT. Thus, pediocin PA-1 binds stronger to mutants of the RBD, particularly to double and triple mutants. Salivaricin B showed a better predicted binding affinity towards triple mutant compared to WT, showing that it might be another bacteriocin with potential activity against the SARS-CoV-2 beta variant. Overall, pediocin PA-1, salivaricin P, and salivaricin B are the most promising candidates for inhibiting SARS-CoV-2 (including lineage B.1.351) entrance into the human cells. These bacteriocins derived from lactic acid bacteria hold promising potential for paving an alternative way for treatment and prophylaxis of WT and beta variants. en_US
dc.description.sponsorship TUBITAK, 2232 - International Fellowship for Outstanding Researchers [11C244] en_US
dc.description.sponsorship This work was supported by TUBITAK, 2232 - International Fellowship for Outstanding Researchers, Project number 11C244. en_US
dc.identifier.doi 10.1007/s12602-021-09879-0
dc.identifier.issn 1867-1306
dc.identifier.issn 1867-1314
dc.identifier.scopus 2-s2.0-85120006254
dc.identifier.uri https://doi.org/10.1007/s12602-021-09879-0
dc.identifier.uri https://hdl.handle.net/20.500.12573/3991
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.ispartof Probiotics and Antimicrobial Proteins en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Beta Variant en_US
dc.subject Bacteriocins en_US
dc.subject COVID-19 en_US
dc.subject Protein-Protein Docking en_US
dc.subject SARS-CoV-2 en_US
dc.subject Md Simulations en_US
dc.title In Silico Analysis of Bacteriocins From Lactic Acid Bacteria Against SARS-CoV en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Ortakci, Fatih/0000-0002-7375-4546
gdc.author.id Fidan, Ozkan/0000-0001-5312-4742
gdc.author.id Yetiman, Ahmet E., Ahmet, A.E.
gdc.author.id /0000-0001-8406-7226
gdc.author.id Durdagi, Serdar/0000-0002-0426-0905
gdc.author.scopusid 56531652600
gdc.author.scopusid 57203938674
gdc.author.scopusid 56913299900
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gdc.author.scopusid 22955598300
gdc.author.scopusid 55353604400
gdc.author.wosid Erol, Ismail/Itv-5094-2023
gdc.author.wosid Fidan, Ozkan/P-3158-2015
gdc.author.wosid Koti̇l, Enes Seyfullah/Jsk-7794-2023
gdc.author.wosid Ortakci, Fatih/Aaa-7126-2022
gdc.author.wosid Yetiman, Ahmet E., Ahmet, A.E.
gdc.author.wosid /Aaa-6358-2019
gdc.author.wosid Durdagi, Serdar/J-1904-2018
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gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Erol, Ismail; Durdagi, Serdar] Bahcesehir Univ, Sch Med, Dept Biophys, Computat Biol & Mol Simulat Lab, Istanbul, Turkey; [Kotil, Seyfullah Enes] Bahcesehir Univ, Sch Med, Dept Biophys, Istanbul, Turkey; [Fidan, Ozkan; Ortakci, Fatih] Abdullah Gul Univ, Fac Life & Nat Sci, Bioengn Dept, Kayseri, Turkey; [Yetiman, Ahmet E.] Erciyes Univ, Fac Engn, Food Engn Dept, Kayseri, Turkey en_US
gdc.description.endpage 29 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 17 en_US
gdc.description.volume 15 en_US
gdc.description.woscitationindex Science Citation Index Expanded
gdc.description.wosquality Q1
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gdc.identifier.pmid 34837166
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gdc.oaire.keywords MD simulations
gdc.oaire.keywords SARS-CoV-2
gdc.oaire.keywords COVID-19
gdc.oaire.keywords Article
gdc.oaire.keywords Beta variant
gdc.oaire.keywords Molecular Docking Simulation
gdc.oaire.keywords Bacteriocins
gdc.oaire.keywords Lactobacillales
gdc.oaire.keywords Humans
gdc.oaire.keywords Pandemics
gdc.oaire.keywords Protein-protein docking
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gdc.virtual.author Fidan, Özkan
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