Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: https://www.metanetx.org/
Full name: Reconciliation of Metabolites and Biochemical Reactions to Bring Together Genome-scale Metabolic Networks
Description: MetaNetX is a repository of genome-scale metabolic networks (GSMNs) and biochemical pathways from a number of major resources imported into a common namespace of chemical compounds, reactions, cellular compartments-namely MNXref-and proteins.
Year founded: 2011
Last update: 2022
Version: v4.4
Accessibility:
Manual:
Accessible
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Country/Region: Switzerland

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: Swiss Institute of Bioinformatics
Address: Lausanne 1015, Switzerland
City: Lausanne
Province/State:
Country/Region: Switzerland
Contact name (PI/Team): Marco Pagni
Contact email (PI/Helpdesk): help@metanetx.org

Publications

26527720
MetaNetX/MNXref--reconciliation of metabolites and biochemical reactions to bring together genome-scale metabolic networks. [PMID: 26527720]
Moretti S, Martin O, Van Du Tran T, Bridge A, Morgat A, Pagni M.

MetaNetX is a repository of genome-scale metabolic networks (GSMNs) and biochemical pathways from a number of major resources imported into a common namespace of chemical compounds, reactions, cellular compartments-namely MNXref-and proteins. The MetaNetX.org website (http://www.metanetx.org/) provides access to these integrated data as well as a variety of tools that allow users to import their own GSMNs, map them to the MNXref reconciliation, and manipulate, compare, analyze, simulate (using flux balance analysis) and export the resulting GSMNs. MNXref and MetaNetX are regularly updated and freely available. © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2016:44(D1) | 80 Citations (from Europe PMC, 2024-04-27)

Ranking

All databases:
972/6000 (83.817%)
Health and medicine:
215/1394 (84.648%)
Pathway:
60/389 (84.833%)
972
Total Rank
80
Citations
10
z-index

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Record metadata

Created on: 2016-01-17
Curated by:
Dong Zou [2024-03-12]
Dong Zou [2024-03-10]
Lina Ma [2016-04-13]
Lin Liu [2016-03-27]
Lin Liu [2016-01-29]
Lin Liu [2016-01-17]