Evidence map›Paper›PMID 39853814›Full record

ArticleJournal of clinical laboratory analysis2025

Development of Synthetic Antimicrobial Peptides Based on Genomic Analysis of Streptococcus salivarius.

Vishakha Grover, Ashish Jain, Amit Bhardwaj, Manjula Mehta, Suraj Arora, Youssef A Algarni, Shashit Shetty Bavabeedu, Gotam Das, Ahmed Babiker Mohamed Ali, Naseer Ahmed and 1 more

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In one paragraph

Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Review
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

11 authors.

Vishakha GroverDr. HS Judge Institute of Dental Sciences and Hospital, Panjab University, Chandigarh, India.
Ashish JainDr. HS Judge Institute of Dental Sciences and Hospital, Panjab University, Chandigarh, India.
Amit BhardwajSGT University, Gurugram, India.
Manjula MehtaDr. HS Judge Institute of Dental Sciences and Hospital, Panjab University, Chandigarh, India.
Suraj AroraDepartment of Restorative Dental Sciences, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
Youssef A AlgarniDepartment of Restorative Dental Sciences, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
Shashit Shetty BavabeeduDepartment of Restorative Dental Sciences, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
Gotam DasDepartment of Prosthodontics, College of Dentistry, King Khalid University, Abha, Saudi Arabia.ORCID https://orcid.org/0000-0001-9506-6456
Ahmed Babiker Mohamed AliDepartment of Restorative Dental Sciences, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
Naseer AhmedDepartment of Prosthodontics, Altamash Institute of Dental Medicine, Karachi, Pakistan.
Artak HeboyanDepartment of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India.ORCID https://orcid.org/0000-0001-8329-3205

Funding

King Khalid University RGP2/469/45
6 · The paper itself

Abstract

backgroundIn the oral environment, the production of bacteriocins or antimicrobial peptides (AMPs) plays a crucial role in maintaining ecological balance by impeding the proliferation of closely related microorganisms. This study aims to conduct in silico genome screening of Streptococcus salivarius to identify potential antimicrobial compounds existing as hypothetical peptides, with the goal of developing novel synthetic antimicrobial peptides.

methodsDraft genomes of various oral Streptococcus salivarius strains were obtained from the NCBI database and subjected to analysis using bioinformatic tools, viz. Expert Protein-Analysis System (Expasy), UniProt Knowledgebase (UniProtKB), European Molecular Biology Open Software Suite (EMBOSS), Pepwheel, and PEP-FOLD Peptide Structure Prediction Server. The antimicrobial potential of peptides was assessed through the Antimicrobial Peptide Database (AMP) and Bactibase. Two short peptides, viz. synthetic antimicrobial peptides (SAMPs), were designed based on current knowledge of hydrophobic and cationic residues, synthesized, and their efficacy against biofilm formation was evaluated with standard microbiological methods.

resultsThe synthesized short peptides reduced the growth and effectively inhibited biofilm formation by specific oral microbial strains, demonstrating their potential as antimicrobial peptides. Furthermore, the alignment of bacteriocin biosynthetic clusters among streptococcus strains revealed variations in putative bacteriocin amino acid sequences across different strains of the same organism.

conclusionStreptococcus salivarius emerges as a promising bioresource for the development of novel antimicrobial agents, particularly for combating biofilm-associated oral infections.

Indexed as

Antimicrobial PeptidesGenome, BacterialStreptococcus salivariusAmino Acid SequenceAnti-Bacterial AgentsBacteriocinsBiofilmsGenomicsHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial PeptidesBacteriocinsantibiofilm peptidesantimicrobial peptides (AMPs)bacteriocinsbiofilmoral microfloraStreptococcus salivarius

Identifiers

PMID39853814
PMCPMC11848166

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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 OpenQuestion graph.