The secondary metabolism collaboratory: a database and web discussion portal for secondary metabolite biosynthetic gene clusters.

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Daniel W Udwary, Drew T Doering, Bryce Foster, Tatyana Smirnova, Satria A Kautsar, Nigel J Mouncey
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引用次数: 0

Abstract

Secondary metabolites are small molecules produced by all corners of life, often with specialized bioactive functions with clinical and environmental relevance. Secondary metabolite biosynthetic gene clusters (BGCs) can often be identified within DNA sequences by various sequence similarity tools, but determining the exact functions of genes in the pathway and predicting their chemical products can often only be done by careful, manual comparative analysis. To facilitate this, we report the first release of the secondary metabolism collaboratory (SMC), which aims to provide a comprehensive, tool-agnostic repository of BGC sequence data drawn from all publicly available and user-submitted bacterial and archaeal genome and contig sources. On the website, users are provided a searchable catalog of putative BGCs identified from each source, along with visualizations of gene and domain annotations derived from multiple sequence analysis tools. SMC's data is also available through publicly-accessible application programming interface (API) endpoints to facilitate programmatic access. Users are encouraged to share their findings (and search for others') through comment posts on BGC and source pages. At the time of writing, SMC is the largest repository of BGC information, holding 13.1M BGC regions from 1.3M source sequences and growing, and can be found at https://smc.jgi.doe.gov.

次生代谢合作组织:次生代谢物生物合成基因簇数据库和网络讨论门户。
次生代谢物是由生命的各个角落产生的小分子,通常具有专门的生物活性功能,与临床和环境相关。次生代谢物生物合成基因簇(BGC)通常可以通过各种序列相似性工具在 DNA 序列中识别出来,但要确定通路中基因的确切功能并预测其化学产物,通常只能通过仔细的人工比较分析来完成。为了促进这项工作,我们报告了二次代谢合作组织(Secondary Metabolism Collaboratory,SMC)的首次发布,该组织旨在提供一个全面的、与工具无关的 BGC 序列数据储存库,这些数据来自所有公开的和用户提交的细菌和古生物基因组和等位基因来源。在该网站上,用户可以搜索到从每个来源确定的假定 BGC 目录,以及从多种序列分析工具中获得的基因和域注释的可视化。SMC 的数据还可通过可公开访问的应用编程接口 (API) 端点获取,以方便编程访问。我们鼓励用户通过在 BGC 和源网页上发表评论来分享自己的发现(以及搜索他人的发现)。在撰写本文时,SMC 是最大的 BGC 信息库,拥有来自 130 万个源序列的 1,310 万个 BGC 区域,并且还在不断增加,其网址为 https://smc.jgi.doe.gov。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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