Dataset Information
Bekaert2010_mouse_inferred_metabolic_network
Ontology highlight
ABSTRACT: Copy number alterations in the mammalian metabolic network co-occur in clusters Clusters of innovation in the mammalian metabolic network Gene references from ensembl release 50 This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not. . Orthologous iso-enzyme metabolic network for Mus musculus
Michael Bekaert and Gavin C. Conant
in preparation
Michael Bekaert and Gavin C. Conant
18th Annual International Conference on Intelligent System fot Molecular Biology. Boston, USA, July 11-13th, 2010
This biomodel is an inferred model based on the Human metabolic network (MODEL6399676120)
To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.
To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
SUBMITTER: Michaël Bekaert
PROVIDER: MODEL1008120002 | biostudies-other |
SECONDARY ACCESSION(S): 21051442
REPOSITORIES: biostudies-other
Publications
Copy number alterations among mammalian enzymes cluster in the metabolic network.
Molecular biology and evolution 20101103 2
Using two high-quality human metabolic networks, we employed comparative genomics techniques to infer metabolic network structures for seven other mammals. We then studied copy number alterations (CNAs) in these networks. Using a graph-theoretic approach, we show that the pattern of CNAs is distinctly different from the random distributions expected under genetic drift. Instead, we find that changes in copy number are most common among transporter genes and that the CNAs differ depending on the ...[more]