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    {AntiSMASH:} Rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences

    Medema, M H; Blin, K; Cimermancic, P; De Jager, V; Zakrzewski, P; Fischbach, M A; Weber, T; Takano, E; Breitling, R

    Nucleic Acids Research. 2011;39({SUPPL.} 2):W339-W344.

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    Abstract

    Bacterial and fungal secondary metabolism is a rich source of novel bioactive compounds with potential pharmaceutical applications as antibiotics, anti-tumor drugs or cholesterol-lowering drugs. To find new drug candidates, microbiologists are increasingly relying on sequencing genomes of a wide variety of microbes. However, rapidly and reliably pinpointing all the potential gene clusters for secondary metabolites in dozens of newly sequenced genomes has been extremely challenging, due to their biochemical heterogeneity, the presence of unknown enzymes and the dispersed nature of the necessary specialized bioinformatics tools and resources. Here, we present {antiSMASH} (antibiotics \& Secondary Metabolite Analysis Shell), the first comprehensive pipeline capable of identifying biosynthetic loci covering the whole range of known secondary metabolite compound classes (polyketides, non-ribosomal peptides, terpenes, aminoglycosides, aminocoumarins, indolocarbazoles, lantibiotics, bacteriocins, nucleosides, beta-lactams, butyrolactones, siderophores, melanins and others). It aligns the identified regions at the gene cluster level to their nearest relatives from a database containing all other known gene clusters, and integrates or cross-links all previously available secondary-metabolite specific gene analysis methods in one interactive view. {antiSMASH} is available at http://antismash.secondarymetabolites.org. ?? 2011 The Author(s).

    Bibliographic metadata

    Content type:
    Published date:
    Journal title:
    Volume:
    39
    Issue:
    {SUPPL.} 2
    Start page:
    W339
    End page:
    W344
    Digital Object Identifier:
    10.1093/nar/gkr466
    Access state:
    Active

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    University researcher(s):
    Academic department(s):

    Record metadata

    Manchester eScholar ID:
    uk-ac-man-scw:169787
    Created by:
    Takano, Eriko
    Created:
    14th September, 2012, 12:41:23
    Last modified by:
    Takano, Eriko
    Last modified:
    27th October, 2015, 10:20:42

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