Reference : The Virtual Metabolic Human database: integrating human and gut microbiome metabolism...
Scientific journals : Article
Life sciences : Biochemistry, biophysics & molecular biology
Life sciences : Biotechnology
http://hdl.handle.net/10993/37074
The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease
English
Noronha, Alberto mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Modamio Chamarro, Jennifer mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Jarosz, Yohan mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Guerard, Elisabeth mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Sompairac, Nicolas [PSL Research University INSERM U900F > Institut Curie > > ; MINES ParisTech > CBIO-Centre for Computational Biology, PSL Research University]
Preciat Gonzalez, German Andres mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Danielsdottir, Anna Dröfn mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Krecke, Max mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Merten, Diane mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Haraldsdottir, Hulda mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Heinken, Almut Katrin mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Heirendt, Laurent mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Magnusdottir, Stefania mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Ravcheev, Dmitry mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Sahoo, Swagatika mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Gawron, Piotr mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Friscioni, Lucia mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Garcia Santa Cruz, Beatriz mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Prendergast, Mabel []
Puente, Alberto mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Rodrigues, Mariana []
Roy, Akansha mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Mouss, Rouquaya mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Wiltgen, Luca mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Zagare, Alise mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
John, Elisabeth mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Krüger, Maren mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Kuperstein, Inna [PSL Research University, INSERM U900 > Institut Curie > > ; MINES ParisTech, PSL Research University > CBIO-Centre for Computational Biology]
Zinovyev, Andrei [PSL Research University, INSERM U900 > Institut Curie > > ; MINES ParisTech, PSL Research University > CBIO-Centre for Computational Biology]
Schneider, Reinhard mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Fleming, Ronan MT mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
Thiele, Ines mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
29-Oct-2018
Nucleic Acids Research
Oxford University Press
Yes (verified by ORBilu)
International
0305-1048
1362-4962
Oxford
United Kingdom
[en] A multitude of factors contribute to complex diseases and can be measured with ‘omics’ methods. Databases facilitate data interpretation for underlying mechanisms. Here, we describe the Virtual Metabolic Human (VMH, www.vmh.life) database encapsulating current knowledge of human metabolism within five interlinked resources ‘Human metabolism’, ‘Gut microbiome’, ‘Disease’, ‘Nutrition’, and ‘ReconMaps’. The VMH captures 5180 unique metabolites, 17 730 unique reactions, 3695 human genes, 255 Mendelian diseases, 818 microbes, 632 685 microbial genes and 8790 food items. The VMH’s unique features are (i) the hosting of the metabolic reconstructions of human and gut microbes amenable for metabolic modeling; (ii) seven human metabolic maps for data visualization; (iii) a nutrition designer; (iv) a user-friendly webpage and application-programming interface to access its content; (v) user feedback option for community engagement and (vi) the connection of its entities to 57 other web resources. The VMH represents a novel, interdisciplinary database for data interpretation and hypothesis generation to the biomedical community.
Luxembourg National Research Fund (FNR) through the ATTRACT program [FNR/A12/01] ; FNR CORE program [C16/BM/11332722]; FNR OPEN grant [FNR/O16/11402054] ; FNR National Centre of Excellence in Research (NCER) on Parkinson's disease ; European Union's Horizon 2020 research and innovation program under grant agreement [668738] ; European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program [757922] ; Art2Cure ASBL
http://hdl.handle.net/10993/37074
https://doi.org/10.1093/nar/gky992
https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gky992/5146204

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