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MODEL8568434338 - Raman2006_MycolicAcid

 

The following model is part of the non-curated branch of BioModels Database. While the syntax of the model has been verified, its semantics remains unchecked. Any annotation present in the models is not a product of BioModels' annotators. We are doing our best to incorporate this model into the curated branch as soon as possible. In the meantime, we display only limited metadata here. For further information about the model, please download the SBML file.


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Reference Publication
Publication ID: 16261191
Raman K, Rajagopalan P, Chandra N.
Flux balance analysis of mycolic acid pathway: targets for anti-tubercular drugs.
PLoS Comput. Biol. 2005 Oct; 1(5): e46
Bioinformatics Centre, Supercomputer Education and Research Centre, Indian Institute of Science, Bangalore, India.  [more]
Model
Original Model: MODEL8568434338.origin
Submitter: Nicolas Le Novère
Submission Date: 29 Sep 2006 22:24:10 UTC
Last Modification Date: 29 Sep 2006 22:24:10 UTC
Creation Date: 29 Sep 2006 22:24:10 UTC
Non kinetic model: network icon.
Encoders:
bqbiol:isVersionOf Gene Ontology mycolic acid biosynthetic process
bqbiol:hasTaxon Taxonomy Mycobacterium tuberculosis
Notes

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.
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.

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..

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.

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