2013
DOI: 10.1093/nar/gkt391
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BAGEL3: automated identification of genes encoding bacteriocins and (non-)bactericidal posttranslationally modified peptides

Abstract: Identifying genes encoding bacteriocins and ribosomally synthesized and posttranslationally modified peptides (RiPPs) can be a challenging task. Especially those peptides that do not have strong homology to previously identified peptides can easily be overlooked. Extensive use of BAGEL2 and user feedback has led us to develop BAGEL3. BAGEL3 features genome mining of prokaryotes, which is largely independent of open reading frame (ORF) predictions and has been extended to cover more (novel) classes of posttrans… Show more

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Cited by 419 publications
(369 citation statements)
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“…With increasing understanding of lantibiotic biosynthesis apparatus and accumulation of sequenced genomes, the age of genomic mining is coming (38). In recent years, a great number of gene clusters of known or unknown lantibiotics have been revealed by genomic mining in broad spectra of species, even including extensively studied actinomycetes, and many of them are then discovered to produce lantibiotics (39,40).…”
Section: Discussionmentioning
confidence: 99%
“…With increasing understanding of lantibiotic biosynthesis apparatus and accumulation of sequenced genomes, the age of genomic mining is coming (38). In recent years, a great number of gene clusters of known or unknown lantibiotics have been revealed by genomic mining in broad spectra of species, even including extensively studied actinomycetes, and many of them are then discovered to produce lantibiotics (39,40).…”
Section: Discussionmentioning
confidence: 99%
“…The web-based tool BAGEL (version 2) was used to predict putative bacteriocins in the L. crispatus strains (van Heel et al, 2013). BAGEL uses a combination of ORF prediction tools, databases of known bacteriocins and motif databases to identify potential bacteriocin genes.…”
Section: Methodsmentioning
confidence: 99%
“…(van Heel et al, 2013) was used to identify bacteriolysin genes. The genes were given random identifiers 1-4 for inter-strain comparison.…”
Section: D-/l-lactic Acidmentioning
confidence: 99%
“…Genomes in the fasta format were individually uploaded to BAGEL3 (24) and antiSMASH (25) software to identify putative proteins related to bacteriocin production. Result files containing the amino acid sequences of the identified proteins were copied as text (.txt) files for sequence comparisons.…”
Section: Data Setsmentioning
confidence: 99%