In silico tools for the analysis of antibiotic biosynthetic pathways.

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Abstract

Natural products of bacteria and fungi are the most important source for antimicrobial drug leads. For decades, such compounds were exclusively found by chemical/bioactivity-guided screening approaches. The rapid progress in sequencing technologies only recently allowed the development of novel screening methods based on the genome sequences of potential producing organisms. The basic principle of such genome mining approaches is to identify genes, which are involved in the biosynthesis of such molecules, and to predict the products of the identified pathways. Thus, bioinformatics methods and tools are crucial for genome mining. In this review, a comprehensive overview is given on programs and databases for the identification and analysis of antibiotic biosynthesis gene clusters in genomic data.
Original languageEnglish
JournalInternational Journal of Medical Microbiology
Volume304
Pages (from-to)230-235
ISSN1438-4221
DOIs
Publication statusPublished - 2014

Cite this

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title = "In silico tools for the analysis of antibiotic biosynthetic pathways.",
abstract = "Natural products of bacteria and fungi are the most important source for antimicrobial drug leads. For decades, such compounds were exclusively found by chemical/bioactivity-guided screening approaches. The rapid progress in sequencing technologies only recently allowed the development of novel screening methods based on the genome sequences of potential producing organisms. The basic principle of such genome mining approaches is to identify genes, which are involved in the biosynthesis of such molecules, and to predict the products of the identified pathways. Thus, bioinformatics methods and tools are crucial for genome mining. In this review, a comprehensive overview is given on programs and databases for the identification and analysis of antibiotic biosynthesis gene clusters in genomic data.",
author = "Tilmann Weber",
year = "2014",
doi = "10.1016/j.ijmm.2014.02.001",
language = "English",
volume = "304",
pages = "230--235",
journal = "International Journal of Medical Microbiology",
issn = "1438-4221",
publisher = "Elsevier",

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In silico tools for the analysis of antibiotic biosynthetic pathways. / Weber, Tilmann.

In: International Journal of Medical Microbiology, Vol. 304, 2014, p. 230-235.

Research output: Contribution to journalJournal articleResearchpeer-review

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AB - Natural products of bacteria and fungi are the most important source for antimicrobial drug leads. For decades, such compounds were exclusively found by chemical/bioactivity-guided screening approaches. The rapid progress in sequencing technologies only recently allowed the development of novel screening methods based on the genome sequences of potential producing organisms. The basic principle of such genome mining approaches is to identify genes, which are involved in the biosynthesis of such molecules, and to predict the products of the identified pathways. Thus, bioinformatics methods and tools are crucial for genome mining. In this review, a comprehensive overview is given on programs and databases for the identification and analysis of antibiotic biosynthesis gene clusters in genomic data.

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SN - 1438-4221

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