Universität zu Köln

Weber, Tilmann ORCID: 0000-0002-8260-5120 (2014). In silico tools for the analysis of antibiotic biosynthetic pathways. Int. J. Med. Microbiol., 304 (3-4). S. 230 - 236. MUNICH: ELSEVIER GMBH. ISSN 1618-0607

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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. (C) 2014 Elsevier GmbH. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Weber, Tilmann UNSPECIFIED orcid.org/0000-0002-8260-5120 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-440064
DOI:	10.1016/j.ijmm.2014.02.001
Journal or Publication Title:	Int. J. Med. Microbiol.
Volume:	304
Number:	3-4
Page Range:	S. 230 - 236
Date:	2014
Publisher:	ELSEVIER GMBH
Place of Publication:	MUNICH
ISSN:	1618-0607
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language NONRIBOSOMAL PEPTIDE SYNTHETASES; GENE CLUSTERS; ADENYLATION DOMAINS; SUBSTRATE-SPECIFICITY; POLYKETIDE; PREDICTION; DATABASE; PROGRAM; SEARCH; IDENTIFICATION Multiple languages Microbiology; Virology Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/44006