ArticleBMC bioinformatics2015
A large scale prediction of bacteriocin gene blocks suggests a wide functional spectrum for bacteriocins.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed, 85 citations in OpenAlex.
- Structural and functional insights into lactobacin A: a novel non-pediocin-like bacteriocin from aMicrobiology spectrum · 2026Article
- Genome-wide association analysis reveals specialization to hosts and niches in multiple species of the Lactobacillaceae.The ISME journal · 2026Article
- Bacteriocins fromFrontiers in microbiology · 2026Review
- Massive acquisition of conjugative and mobilizable integrated elements fuels Faecalibacterium plasticity and hints at their adaptation to the gut.Scientific reports · 2025Article
- Genomic Analysis of Bacteriocin-Producing Staphylococci: High Prevalence of Lanthipeptides and the Micrococcin P1 Biosynthetic Gene Clusters.Probiotics and antimicrobial proteins · 2025Article
- Bacteriocin prediction through cross-validation-based and hypergraph-based feature evaluation approaches.Frontiers in bioinformatics · 2025Article
- Exploring the phylogenetic diversity and antimicrobial activity of non-Frontiers in microbiology · 2025Article
- Protein remote homology detection and structural alignment using deep learning.Nature biotechnology · 2024Article
- In Silico Screening of Bacteriocin Gene Clusters within a Set of MarineInternational journal of molecular sciences · 2024Article
- Deep learning neural network development for the classification of bacteriocin sequences produced by lactic acid bacteria.F1000Research · 2024Article
- Metagenomic Insights into the Taxonomic and Functional Features of Traditional Fermented Milk Products from Russia.Microorganisms · 2023Article
- BaPreS: a software tool for predicting bacteriocins using an optimal set of features.BMC bioinformatics · 2023Article
- Insect Antimicrobial Peptides: Advancements, Enhancements and New Challenges.Antibiotics (Basel, Switzerland) · 2023Review
- Antibiotic Resistance and Food Safety: Perspectives on New Technologies and Molecules for Microbial Control in the Food Industry.Antibiotics (Basel, Switzerland) · 2023Review
- Integrated molecular approaches for fermented food microbiome research.FEMS microbiology reviews · 2023Review
- What Is the Microbiome? A Description of a Social Network.Clinics in colon and rectal surgery · 2023Review
- BADASS: BActeriocin-Diversity ASsessment Software.BMC bioinformatics · 2023Article
- BPAGS: a web application for bacteriocin prediction via feature evaluation using alternating decision tree, genetic algorithm, and linear support vector classifier.Frontiers in bioinformatics · 2023Article
- Lactic Acid Bacteria and Bacteriocins: Novel Biotechnological Approach for Biopreservation of Meat and Meat Products.Microorganisms · 2022Review
- Antimicrobial Potential of the GeneraAntibiotics (Basel, Switzerland) · 2022Review
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundBacteriocins are peptide-derived molecules produced by bacteria, whose recently-discovered functions include virulence factors and signaling molecules as well as their better known roles as antibiotics. To date, close to five hundred bacteriocins have been identified and classified. Recent discoveries have shown that bacteriocins are highly diverse and widely distributed among bacterial species. Given the heterogeneity of bacteriocin compounds, many tools struggle with identifying novel bacteriocins due to their vast sequence and structural diversity. Many bacteriocins undergo post-translational processing or modifications necessary for the biosynthesis of the final mature form. Enzymatic modification of bacteriocins as well as their export is achieved by proteins whose genes are often located in a discrete gene cluster proximal to the bacteriocin precursor gene, referred to as context genes in this study. Although bacteriocins themselves are structurally diverse, context genes have been shown to be largely conserved across unrelated species.
methodsUsing this knowledge, we set out to identify new candidates for context genes which may clarify how bacteriocins are synthesized, and identify new candidates for bacteriocins that bear no sequence similarity to known toxins. To achieve these goals, we have developed a software tool, Bacteriocin Operon and gene block Associator (BOA) that can identify homologous bacteriocin associated gene blocks and predict novel ones. BOA generates profile Hidden Markov Models from the clusters of bacteriocin context genes, and uses them to identify novel bacteriocin gene blocks and operons. RESULTS AND
conclusionsWe provide a novel dataset of predicted bacteriocins and context genes. We also discover that several phyla have a strong preference for bacteriocin genes, suggesting distinct functions for this group of molecules. SOFTWARE AVAILABILITY: https://github.com/idoerg/BOA.
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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.