{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T05:20:07Z","timestamp":1674710407820},"reference-count":7,"publisher":"Oxford University Press (OUP)","issue":"19","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":1892,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/2.5"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Analysis of biological networks requires assessing the statistical significance of network-based predictions by using a realistic null model. However, the existing network null model, switch randomization, is unsuitable for metabolic networks, as it does not include physical constraints and generates unrealistic reactions. We present JMassBalance, a tool for mass-balanced randomization and analysis of metabolic networks. The tool allows efficient generation of large sets of randomized networks under the physical constraint of mass balance. In addition, various structural properties of the original and randomized networks can be calculated, facilitating the identification of the salient properties of metabolic networks with a biologically meaningful null model.<\/jats:p>\n               <jats:p>Availability and Implementation: \u00a0JMassBalance is implemented in Java and freely available on the web at http:\/\/mathbiol.mpimp-golm.mpg.de\/massbalance\/.<\/jats:p>\n               <jats:p>Contact: \u00a0basler@mpimp-golm.mpg.de<\/jats:p>","DOI":"10.1093\/bioinformatics\/btr448","type":"journal-article","created":{"date-parts":[[2011,7,30]],"date-time":"2011-07-30T02:55:41Z","timestamp":1311994541000},"page":"2761-2762","source":"Crossref","is-referenced-by-count":3,"title":["<i>JMassBalance<\/i>: mass-balanced randomization and analysis of metabolic networks"],"prefix":"10.1093","volume":"27","author":[{"given":"Georg","family":"Basler","sequence":"first","affiliation":[{"name":"1 University of Potsdam, Institute for Biochemistry and Biology and 2Max Planck Institute for Molecular Plant Physiology, D-14476 Potsdam, Germany"}]},{"given":"Zoran","family":"Nikoloski","sequence":"additional","affiliation":[{"name":"1 University of Potsdam, Institute for Biochemistry and Biology and 2Max Planck Institute for Molecular Plant Physiology, D-14476 Potsdam, Germany"},{"name":"1 University of Potsdam, Institute for Biochemistry and Biology and 2Max Planck Institute for Molecular Plant Physiology, D-14476 Potsdam, Germany"}]}],"member":"286","published-online":{"date-parts":[[2011,7,29]]},"reference":[{"key":"2023012512010236700_B1","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1093\/bioinformatics\/btr145","article-title":"Mass-balanced randomization of metabolic networks","volume":"27","author":"Basler","year":"2011","journal-title":"Bioinformatics"},{"key":"2023012512010236700_B2","doi-asserted-by":"crossref","first-page":"173","DOI":"10.1016\/j.ymben.2009.10.003","article-title":"Model-driven evaluation of the production potential for growth-coupled products of escherichia coli","volume":"12","author":"Feist","year":"2010","journal-title":"Metab Eng."},{"key":"2023012512010236700_B3","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1038\/nphys489","article-title":"Classes of complex networks defined by role-to-role connectivity profiles","volume":"3","author":"Guimer\u00e0","year":"2007","journal-title":"Nature Physics"},{"key":"2023012512010236700_B4","doi-asserted-by":"crossref","first-page":"498","DOI":"10.1007\/s00239-005-0027-1","article-title":"Expanding metabolic networks: Scopes of compounds, robustness, and evolution","volume":"61","author":"Handorf","year":"2005","journal-title":"J. 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