2023
DOI: 10.1093/nar/gkad344
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antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation

Abstract: Microorganisms produce small bioactive compounds as part of their secondary or specialised metabolism. Often, such metabolites have antimicrobial, anticancer, antifungal, antiviral or other bio-activities and thus play an important role for applications in medicine and agriculture. In the past decade, genome mining has become a widely-used method to explore, access, and analyse the available biodiversity of these compounds. Since 2011, the ‘antibiotics and secondary metabolite analysis shell—antiSMASH’ (https:… Show more

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Cited by 375 publications
(297 citation statements)
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References 40 publications
(42 reference statements)
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“…It has been previously reported that variation in culture pH can affect metabolite production. , In an attempt to activate silent BGCs, the ROS-forming strain S. indonesiensis DSM41759, which harbors 51 BGCs based on antiSMASH analysis of the genome sequence (NCBI accession no. JAGSHY000000000), was grown in R5A-rich media at four different pH (pH 5.4, 6.4, 7.4, and 8.4).…”
Section: Results and Discussionmentioning
confidence: 99%
“…It has been previously reported that variation in culture pH can affect metabolite production. , In an attempt to activate silent BGCs, the ROS-forming strain S. indonesiensis DSM41759, which harbors 51 BGCs based on antiSMASH analysis of the genome sequence (NCBI accession no. JAGSHY000000000), was grown in R5A-rich media at four different pH (pH 5.4, 6.4, 7.4, and 8.4).…”
Section: Results and Discussionmentioning
confidence: 99%
“…The genomic signature sequences of the RAST-annotated strain GXMU-J15 T and its closely related strains were analysed for comparative homology by the OrthoVenn2 [46] online tool. The secondary metabolite biosynthesis gene clusters (smBGCs) in the bacterial genomes were evaluated using the anti-SMASH 7.0 [47]. The average nucleotide identity (ANI) values of this strain and its closely related strains were computed by pairwise calculations using the ANI- blast (ANIb) and ANI-MUMmer (ANIm) algorithms [48] on the JSpecies Web Server [49], respectively.…”
Section: Methodsmentioning
confidence: 99%
“…The draft genome was explicated using Rapid Annotation using Subsystem Technology ( rast ) [38] and the NCBI PGAP. The genes involved in the secondary metabolism were predicted using antiSMASH 7.0 [39]. The comparison of the orthologous clusters (OCs) among strains chi3 T and sf7 T , as well as the closely related members of Alteromonas and Erythrobacter , was conducted using the Ortho Venn2 online tool [40].…”
Section: Methodsmentioning
confidence: 99%