antiSMASH 3.0-a comprehensive resource for the genome mining of biosynthetic gene clusters

被引:1379
作者
Weber, Tilmann [1 ]
Blin, Kai [1 ]
Duddela, Srikanth [2 ]
Krug, Daniel [2 ,3 ]
Kim, Hyun Uk [1 ,4 ]
Bruccoleri, Robert [5 ]
Lee, Sang Yup [1 ,4 ]
Fischbach, Michael A. [6 ]
Mueller, Rolf [2 ,3 ]
Wohlleben, Wolfgang [7 ,8 ]
Breitling, Rainer [9 ]
Takano, Eriko [9 ]
Medema, Marnix H. [10 ,11 ]
机构
[1] Tech Univ Denmark, Novo Nordisk Fdn Ctr Biosustainabil, Horsholm, Denmark
[2] Univ Saarland, Helmholtz Ctr Infect Res, Helmholtz Inst Pharmaceut Res Saarland, Dept Microbial Nat Prod, D-66123 Saarbrucken, Germany
[3] German Ctr Infect Res DZIF, Hannover, Germany
[4] Korea Adv Inst Sci & Technol, BioInformat Res Ctr, Dept Chem & Biomol Engn, Plus Program BK21, Taejon 305701, South Korea
[5] Congenomics LLC, Glastonbury, CT USA
[6] Univ Calif San Francisco, Dept Bioengn & Therapeut Sci, Calif Inst Quantitat Biosci, San Francisco, CA 94143 USA
[7] Univ Tubingen, Interfac Inst Microbiol & Infect Med, Tubingen, Germany
[8] German Ctr Infect Res DZIF, Tubingen, Germany
[9] Univ Manchester, Manchester Inst Biotechnol, Fac Life Sci, Manchester Ctr Synthet Biol Fine & Special Chem S, Manchester, Lancs, England
[10] Max Planck Inst Marine Microbiol, Microbial Genom & Bioinformat Res Grp, Bremen, Germany
[11] Wageningen Univ, Bioinformat Grp, NL-6700 AP Wageningen, Netherlands
基金
英国工程与自然科学研究理事会; 英国生物技术与生命科学研究理事会; 新加坡国家研究基金会;
关键词
SECONDARY; IDENTIFICATION; PLATFORM; TOOLS;
D O I
10.1093/nar/gkv437
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Microbial secondary metabolism constitutes a rich source of antibiotics, chemotherapeutics, insecticides and other high-value chemicals. Genome mining of gene clusters that encode the biosynthetic pathways for these metabolites has become a key methodology for novel compound discovery. In 2011, we introduced antiSMASH, a web server and standalone tool for the automatic genomic identification and analysis of biosynthetic gene clusters, available at http://antismash.secondarymetabolites.org. Here, we present version 3.0 of antiSMASH, which has undergone major improvements. A full integration of the recently published ClusterFinder algorithm now allows using this probabilistic algorithm to detect putative gene clusters of unknown types. Also, a new dereplication variant of the ClusterBlast module now identifies similarities of identified clusters to any of 1172 clusters with known end products. At the enzyme level, active sites of key biosynthetic enzymes are now pinpointed through a curated patternmatching procedure and Enzyme Commission numbers are assigned to functionally classify all enzymecoding genes. Additionally, chemical structure prediction has been improved by incorporating polyketide reduction states. Finally, in order for users to be able to organize and analyze multiple antiSMASH outputs in a private setting, a new XML output module allows offline editing of antiSMASH annotations within the Geneious software.
引用
收藏
页码:W237 / W243
页数:7
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