The secondary metabolite bioinformatics portal: Computational tools to facilitate synthetic biology of secondary metabolite production

被引:122
作者
Weber, Tilmann [1 ]
Kim, Hyun Uk [1 ,2 ]
机构
[1] Tech Univ Denmark, Novo Nordisk Fdn, Ctr Biosustainabil, Kogle Alle 6, DK-2970 Horsholm, Denmark
[2] Korea Adv Inst Sci & Technol, BioInformat Res Ctr, Daejeon 34141, South Korea
关键词
Antibiotics; Biosynthesis; Bioinformatics; NRPS; PKS; Natural product; NONRIBOSOMAL PEPTIDE SYNTHETASE; BIOSYNTHETIC GENE CLUSTERS; COMPLETE GENOME SEQUENCE; IN-SILICO PREDICTION; NATURAL-PRODUCTS; POLYKETIDE SYNTHASE; ADENYLATION DOMAINS; AUTOMATED IDENTIFICATION; ANTIBIOTIC PRODUCTION; DATABASE SEARCH;
D O I
10.1016/j.synbio.2015.12.002
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Natural products are among the most important sources of lead molecules for drug discovery. With the development of affordable whole-genome sequencing technologies and other 'omics tools, the field of natural products research is currently undergoing a shift in paradigms. While, for decades, mainly analytical and chemical methods gave access to this group of compounds, nowadays genomics-based methods offer complementary approaches to find, identify and characterize such molecules. This paradigm shift also resulted in a high demand for computational tools to assist researchers in their daily work. In this context, this review gives a summary of tools and databases that currently are available to mine, identify and characterize natural product biosynthesis pathways and their producers based on 'omics data. A web portal called Secondary Metabolite Bioinformatics Portal (SMBP at http://www.secondarymetabolites.org) is introduced to provide a one-stop catalog and links to these bioinformatics resources. In addition, an outlook is presented how the existing tools and those to be developed will influence synthetic biology approaches in the natural products field. (c) 2016 The authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/bync-nd/4.0/).
引用
收藏
页码:69 / 79
页数:11
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