Metabolic Model Generalization
hal.structure.identifier | Models and Algorithms for the Genome [ MAGNOME] | |
hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
dc.contributor.author | ZHUKOVA, Anna | |
dc.date.accessioned | 2024-04-15T09:43:03Z | |
dc.date.available | 2024-04-15T09:43:03Z | |
dc.date.conference | 2013-06-03 | |
dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/197731 | |
dc.description.abstractEn | Genome-scale metabolic models for new organisms include thousands of reactions that are generated automatically: by inferring them from databases of reactions and pathways, existing models for similar organisms, etc. This process includes several iterations of the draft model analysis, error detection, and improvement; starting from more general issues and going deeper into details. Especially in the first iterations model evaluation by a human expert is important. But genome-scale models are targeted for computer simulation and analysis, and are too detailed and complicated to be easily understood by a human. For example, in the beta-oxidation of fatty acids pathway, a reaction missing for a particular fatty-acyl-CoA type (e.g. decanoyl-CoA) is a more specific issue than missing a whole enoyl-CoA hydratase step (which could happen if the corresponding enzyme is not found). But the abundance of reactions in the model (e.g. those corresponding to other beta-oxidation steps and presented for each of the different types of fatty-acyls-CoA) may hide this fact from the human. That is why we developed a method for knowledge-based scaling of metabolic models, providing a higher-level view of a model, keeping its essential structure and omitting the details. | |
dc.language.iso | en | |
dc.type | Autre communication scientifique (congrès sans actes - poster - séminaire...) | |
dc.subject.hal | Informatique [cs]/Bio-informatique [q-bio.QM] | |
dc.subject.hal | Sciences du Vivant [q-bio]/Bio-Informatique, Biologie Systémique [q-bio.QM] | |
bordeaux.hal.laboratories | Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800 | * |
bordeaux.institution | Université de Bordeaux | |
bordeaux.institution | Bordeaux INP | |
bordeaux.institution | CNRS | |
bordeaux.conference.title | International Course in Yeast Systems Biology | |
bordeaux.country | SE | |
bordeaux.conference.city | Gothenburg | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-00859442 | |
hal.version | 1 | |
hal.conference.end | 2013-06-10 | |
hal.popular | non | |
hal.audience | Internationale | |
dc.title.it | Metabolic Model Generalization | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-00859442v1 | |
bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.au=ZHUKOVA,%20Anna&rft.genre=conference |
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