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Deriving Gene Associations for Metabolic Models

Razanne Issa 1, 2 David James Sherman 2, 1
2 PLEIADE - from patterns to models in computational biodiversity and biotechnology
LaBRI - Laboratoire Bordelais de Recherche en Informatique, Inria Bordeaux - Sud-Ouest, BioGeCo - Biodiversité, Gènes & Communautés
Abstract : We define a formal procedure for inferring gene-protein-reaction (GPR) relations from complete metabolic models, using a logical representation of knowledge and a small set of inference rules. We show that different use cases of metabolic models requires difference GPR relations. Three examples from the yeast Saccharomyces cerevisae illustrate the procedure and demonstrate its usefulness.
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https://hal.inria.fr/hal-01976744
Contributor : David James Sherman <>
Submitted on : Thursday, January 10, 2019 - 4:39:06 PM
Last modification on : Friday, February 12, 2021 - 10:10:08 AM

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  • HAL Id : hal-01976744, version 1

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Razanne Issa, David James Sherman. Deriving Gene Associations for Metabolic Models. [Research Report] RR-9246, Inria Bordeaux Sud-Ouest. 2018. ⟨hal-01976744⟩

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