Evidence map›Paper›PMID 34837166›Full record

ArticleProbiotics and antimicrobial proteins2023

In Silico Analysis of Bacteriocins from Lactic Acid Bacteria Against SARS-CoV-2.

Ismail Erol, Seyfullah Enes Kotil, Ozkan Fidan, Ahmet E Yetiman, Serdar Durdagi, Fatih Ortakci

Open access · bronzeAbstract read
In one paragraph

Article in Probiotics and antimicrobial proteins, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 36 citations in OpenAlex.

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  6. Lactic Acid Bacteria Bacteriocins: Safe and Effective Antimicrobial Agents.International journal of molecular sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Ismail ErolComputational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, Istanbul, Turkey. ismail.erol@med.bau.edu.tr.ORCID 0000-0001-8256-6283
Seyfullah Enes KotilDepartment of Biophysics, School of Medicine, Bahcesehir University, Istanbul, Turkey.ORCID 0000-0002-9588-3947
Ozkan FidanBioengineering Department, Faculty of Life and Natural Sciences, Abdullah Gul University, Kayseri, Turkey.ORCID 0000-0001-5312-4742
Ahmet E YetimanFood Engineering Department, Faculty of Engineering, Erciyes University, Kayseri, Turkey.ORCID 0000-0001-8406-7226
Serdar DurdagiComputational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, Istanbul, Turkey. serdar.durdagi@med.bau.edu.tr.ORCID 0000-0002-0426-0905
Fatih OrtakciBioengineering Department, Faculty of Life and Natural Sciences, Abdullah Gul University, Kayseri, Turkey. fatih.ortakci@agu.edu.tr.ORCID 0000-0003-1319-0854
Bahçeşehir University · TRAbdullah Gül University · TRErciyes University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BacteriocinsCOVID-19LactobacillalesHumansMolecular Docking SimulationPandemicsSARS-CoV-2BacteriocinsBacteriocinsBeta variantCOVID-19MD simulationsProtein–protein dockingSARS-CoV-2

Identifiers

PMID34837166
PMCPMC8626284
OpenAlexW3216233324

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.