2016
DOI: 10.1038/nchembio.2207
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Discovery of MRSA active antibiotics using primary sequence from the human microbiome

Abstract: Here, we present a natural product discovery approach whereby structures are bioinformatically predicted from primary sequence and produced by chemical synthesis (synthetic-bioinformatic natural products, syn-BNPs), circumventing the need for bacterial culture and gene expression. When applied to nonribosomal peptide synthetase gene clusters from human-associated bacteria we identified the humimycins. These antibiotics inhibit lipid II flippase and potentiate β-lactam activity against methicillin-resistant Sta… Show more

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Cited by 145 publications
(168 citation statements)
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References 32 publications
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“…311 Growing out of antecedent tools for comparative analysis of genetic information such as BLAST, 312 HMMER, 313 and algorithms for the detection of specific classes of gene cluster families (many of which were recently reviewed 314 ), ClusterFinder has been successfully used to identify putative gene clusters from microbiome data and led to the characterization of metabolites. 36, 315 Part of the antiSMASH platform, 316318 ClusterFinder is a more general probabilistic algorithm used to identify BGCs of broad structural classes ranging from polysaccharides to PKs and peptides. AntiSMASH 3.0 also has algorithms to compare orphan gene clusters to a manually curated database of characterized gene clusters (ClusterBlast) and to predict substrate specificity of active sites with some metabolite structural prediction, thus reducing the manual curation necessary to link metabolites and their BGCs.…”
Section: The Untapped (Research) Potential Of the Microbiotamentioning
confidence: 99%
“…311 Growing out of antecedent tools for comparative analysis of genetic information such as BLAST, 312 HMMER, 313 and algorithms for the detection of specific classes of gene cluster families (many of which were recently reviewed 314 ), ClusterFinder has been successfully used to identify putative gene clusters from microbiome data and led to the characterization of metabolites. 36, 315 Part of the antiSMASH platform, 316318 ClusterFinder is a more general probabilistic algorithm used to identify BGCs of broad structural classes ranging from polysaccharides to PKs and peptides. AntiSMASH 3.0 also has algorithms to compare orphan gene clusters to a manually curated database of characterized gene clusters (ClusterBlast) and to predict substrate specificity of active sites with some metabolite structural prediction, thus reducing the manual curation necessary to link metabolites and their BGCs.…”
Section: The Untapped (Research) Potential Of the Microbiotamentioning
confidence: 99%
“…35 Chemical structures have been predicted from genomics, prompting synthesis of hypothetical analogs, but without reference to any initial activity. 36 While novel chemistry can be discovered in this way, these methods suffer from the limitation that, in general, the potential biological activity is only determined after the extensive labor of producing compounds derived from biosynthetic pathways.…”
Section: Discussionmentioning
confidence: 99%
“…As an example, a terpene synthase from S. avermitilis was expressed in E. coli , resulting in the synthesis of the novel tricyclic sesquiterpene, avermitilol41. Chu et al 42. used primary sequence from the human microbiome, and thus bioinformatically predicted and chemical synthesized a new antibiotic.…”
Section: Discussionmentioning
confidence: 99%