MiMeDB: the Human Microbial Metabolome Database.
MiMeDB: the Human Microbial Metabolome Database.
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DOI：
10.1093/nar/gkac868
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发表时间：
2023-01-06
影响因子：
14.9
通讯作者：
Karu, Naama
中科院分区：
文献类型：
--
作者：
Wishart, David S.;Oler, Eponine;Peters, Harrison;Guo, AnChi;Girod, Sagan;Han, Scott;Saha, Sukanta;Lui, Vicki W.;LeVatte, Marcia;Gautam, Vasuk;Kaddurah-Daouk, Rima;Karu, Naama
人类微生物代谢组数据库(https://mimedb.org))是一个综合的、多组的微生物组资源，它连接：(I)微生物与微生物基因组；(Ii)微生物基因组与微生物代谢产物；(Iii)微生物代谢产物与人类暴露组；以及(Iv)所有这些‘组’与人类健康。MiMeDB的成立是为了整合越来越多的数据，这些数据将人类微生物群及其产生的化学物质与健康和疾病联系起来。MiMeDB包含关于大多数已知人类微生物(细菌和真菌)的详细分类、微生物学和身体部位位置数据。这些微生物数据与广泛的基因组和蛋白质组序列数据相联系，这些数据与五颜六色的交互式染色体图谱紧密相连。数据库还包含关于这些微生物产生的所有已知代谢物的详细信息，它们的结构、化学和光谱特性，负责这些代谢物的反应和酶，以及主要的暴露来源(食品、药品、化妆品、污染物等)。这最终导致了在人类体内观察到的微生物代谢物。此外，还提供了关于这些化合物的已知或推定的健康影响、测量的生物样本浓度和人类蛋白质靶标的广泛参考数据。所有这些信息都存储在注释丰富、高度交互、视觉上令人愉悦的数据库中，该数据库的设计易于搜索、易于浏览和易于导航。目前，MiMeDB包含626个健康影响或生物活性、1904个微生物、3112个参考文献、22 054个反应、24 254个代谢物或暴露化学品、648 861个MS和核磁共振光谱、640万个基因和76亿个DNA碱基的数据。我们认为，MiMeDB代表了一种集成的、多基因组或系统生物学数据库，这是实现全面的多基因组集成所必需的。
The Human Microbial Metabolome Database (MiMeDB) (https://mimedb.org) is a comprehensive, multi-omic, microbiome resource that connects: (i) microbes to microbial genomes; (ii) microbial genomes to microbial metabolites; (iii) microbial metabolites to the human exposome and (iv) all of these ‘omes’ to human health. MiMeDB was established to consolidate the growing body of data connecting the human microbiome and the chemicals it produces to both health and disease. MiMeDB contains detailed taxonomic, microbiological and body-site location data on most known human microbes (bacteria and fungi). This microbial data is linked to extensive genomic and proteomic sequence data that is closely coupled to colourful interactive chromosomal maps. The database also houses detailed information about all the known metabolites generated by these microbes, their structural, chemical and spectral properties, the reactions and enzymes responsible for these metabolites and the primary exposome sources (food, drug, cosmetic, pollutant, etc.) that ultimately lead to the observed microbial metabolites in humans. Additional, extensively referenced data about the known or presumptive health effects, measured biosample concentrations and human protein targets for these compounds is provided. All of this information is housed in richly annotated, highly interactive, visually pleasing database that has been designed to be easy to search, easy to browse and easy to navigate. Currently MiMeDB contains data on 626 health effects or bioactivities, 1904 microbes, 3112 references, 22 054 reactions, 24 254 metabolites or exposure chemicals, 648 861 MS and NMR spectra, 6.4 million genes and 7.6 billion DNA bases. We believe that MiMeDB represents the kind of integrated, multi-omic or systems biology database that is needed to enable comprehensive multi-omic integration.
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影响因子：
5.6
作者：
Adesso S;Magnus T;Cuzzocrea S;Campolo M;Rissiek B;Paciello O;Autore G;Pinto A;Marzocco S
通讯作者：
Marzocco S
影响因子：
14.9
作者：
Wang, Fei;Allen, Dana;Tian, Siyang;Oler, Eponine;Gautam, Vasuk;Greiner, Russell;Metz, Thomas O.;Wishart, David S.
通讯作者：
Wishart, David S.
DOI：
10.1016/j.xcrm.2020.100138
发表时间：
2020-11-17
期刊：
Cell reports. Medicine
影响因子：
--
作者：
Baloni P;Funk CC;Yan J;Yurkovich JT;Kueider-Paisley A;Nho K;Heinken A;Jia W;Mahmoudiandehkordi S;Louie G;Saykin AJ;Arnold M;Kastenmüller G;Griffiths WJ;Thiele I;Alzheimer’s Disease Metabolomics Consortium;Kaddurah-Daouk R;Price ND
通讯作者：
Price ND
影响因子：
14.9
作者：
Sajed T;Marcu A;Ramirez M;Pon A;Guo AC;Knox C;Wilson M;Grant JR;Djoumbou Y;Wishart DS
通讯作者：
Wishart DS
影响因子：
9.5
作者：
Stothard P;Grant JR;Van Domselaar G
通讯作者：
Van Domselaar G