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Open Access

Peer-reviewed

Research Article

Identifying All Moiety Conservation Laws in Genome-Scale Metabolic Networks

Andrea De Martino ,

Contributed equally to this work with: Andrea De Martino, Daniele De Martino, Roberto Mulet, Andrea Pagnani

Affiliations CNR-IPCF, Unità di Roma-Sapienza, Roma, Italy, Dipartimento di Fisica, Sapienza Università di Roma, Roma, Italy, Center for Life Nano Science@Sapienza, Istituto Italiano di Tecnologia, Roma, Italy
⨯
Daniele De Martino ,

Contributed equally to this work with: Andrea De Martino, Daniele De Martino, Roberto Mulet, Andrea Pagnani

* E-mail: daniele.demartino@roma1.infn.it

Affiliation Center for Life Nano Science@Sapienza, Istituto Italiano di Tecnologia, Roma, Italy
⨯
Roberto Mulet ,

Contributed equally to this work with: Andrea De Martino, Daniele De Martino, Roberto Mulet, Andrea Pagnani

Affiliation Henri-Poincaré-Group of Complex Systems and Department of Theoretical Physics, Physics Faculty, University of Havana, La Habana, Cuba
⨯
Andrea Pagnani

Contributed equally to this work with: Andrea De Martino, Daniele De Martino, Roberto Mulet, Andrea Pagnani

Affiliations DISAT and Centre for Computational Sciences, Politecnico di Torino, Torino, Italy, Human Genetics Foundation, Torino, Italy
⨯

Identifying All Moiety Conservation Laws in Genome-Scale Metabolic Networks

Andrea De Martino,
Daniele De Martino,
Roberto Mulet,
Andrea Pagnani

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Published: July 2, 2014
https://doi.org/10.1371/journal.pone.0100750

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Metabolic networks
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Stoichiometry
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Metabolites
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Genomics
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Algorithms
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Cell metabolism
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Monte Carlo method
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Network analysis
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