PMID- 23065606 OWN - NLM STAT- MEDLINE DCOM- 20130311 LR - 20220311 IS - 1940-6029 (Electronic) IS - 1064-3745 (Linking) VI - 944 DP - 2012 TI - Bioinformatics approaches and software for detection of secondary metabolic gene clusters. PG - 23-45 LID - 10.1007/978-1-62703-122-6_2 [doi] AB - The accelerating pace of microbial genomics is sparking a renaissance in the field of natural products research. Researchers can now get a preview of the organism's secondary metabolome by analyzing its genomic sequence. Combined with other -omics data, this approach may provide a cost-effective alternative to industrial high-throughput screening in drug discovery. In the last few years, several computational tools have been developed to facilitate this process by identifying genes involved in secondary metabolite biosynthesis in bacterial and fungal genomes. Here, we review seven software programs that are available for this purpose, with an emphasis on antibiotics & Secondary Metabolite Analysis SHell (antiSMASH) and Secondary Metabolite Unknown Regions Finder (SMURF), the only tools that can comprehensively detect complete secondary metabolite biosynthesis gene clusters. We also discuss five related software packages-CLUster SEquence ANalyzer (CLUSEAN), ClustScan, Structure Based Sequence Analysis of Polyketide Synthases (SBSPKS), NRPSPredictor, and Natural Product searcher (NP.searcher)-that identify secondary metabolite backbone biosynthesis genes. This chapter offers detailed protocols, suggestions, and caveats to assist researchers in using these tools most effectively. FAU - Fedorova, Natalie D AU - Fedorova ND AD - The J. Craig Venter Institute, Rockville, MD, USA. natalief@jcvi.org FAU - Moktali, Venkatesh AU - Moktali V FAU - Medema, Marnix H AU - Medema MH LA - eng GR - HHSN272200900007C/PHS HHS/United States GR - N01-AI-30071/AI/NIAID NIH HHS/United States PT - Journal Article PT - Research Support, N.I.H., Extramural PT - Research Support, Non-U.S. Gov't PL - United States TA - Methods Mol Biol JT - Methods in molecular biology (Clifton, N.J.) JID - 9214969 RN - 0 (Anti-Bacterial Agents) RN - 0 (Biological Products) RN - 79956-01-7 (Polyketide Synthases) SB - IM MH - Algorithms MH - Anti-Bacterial Agents/pharmacology MH - Bacteria/drug effects/*genetics/*metabolism MH - Biological Products/metabolism MH - Computational Biology/*methods MH - Fungi/drug effects/*genetics/*metabolism MH - Genomics MH - Internet MH - Multigene Family/*genetics MH - Polyketide Synthases/genetics MH - *Software EDAT- 2012/10/16 06:00 MHDA- 2013/03/12 06:00 CRDT- 2012/10/16 06:00 PHST- 2012/10/16 06:00 [entrez] PHST- 2012/10/16 06:00 [pubmed] PHST- 2013/03/12 06:00 [medline] AID - 10.1007/978-1-62703-122-6_2 [doi] PST - ppublish SO - Methods Mol Biol. 2012;944:23-45. doi: 10.1007/978-1-62703-122-6_2.