BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=curation_notes.txthttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191.pdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191-biopax2.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191-biopax3.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=manifest.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191_url.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191.odehttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=metadata.rdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=curation_image.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191-octave.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191-matlab.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000191?filename=BIOMD0000000191_url.sedmlprimaryOK200Armando Reyes-PalomaresManually curatedordinary differential equation modelL2V3https://www.ebi.ac.uk/biomodels/BIOMD000000019117520329falseBioModelsSBMLModelsMontañez2008 Arginine catabolism2008MODEL7416883636Raúl Montañez, C Rodríguez-Caso, Francisca Sánchez-Jiménez, Miguel Angel MedinaRaúl Montañez17520329, We use a modeling and simulation approach to carry out an in silico analysis of the metabolic pathways involving arginine as a precursor of nitric oxide or polyamines in aorta endothelial cells. Our model predicts conditions of physiological steady state, as well as the response of the system to changes in the control parameter, external arginine concentration. Metabolic flux control analysis allowed us to predict the values of flux control coefficients for all the transporters and enzymes included in the model. This analysis fulfills the flux control coefficient summation theorem and shows that both the low affinity transporter and arginase share the control of the fluxes through these metabolic pathways.. 2, 34. Procel Group, Department of Molecular Biology and Biochemistry, University of Málaga, and CIBERER, Málaga, Spain.armando@uma.esUniversity of M?laga. CIBERER (Enfermedades Raras)BIOMD0000000191We use a modeling and simulation approach to carry out an in silico analysis of the metabolic pathways involving arginine as a precursor of nitric oxide or polyamines in aorta endothelial cells. Our model predicts conditions of physiological steady state, as well as the response of the system to changes in the control parameter, external arginine concentration. Metabolic flux control analysis allowed us to predict the values of flux control coefficients for all the transporters and enzymes included in the model. This analysis fulfills the flux control coefficient summation theorem and shows that both the low affinity transporter and arginase share the control of the fluxes through these metabolic pathways.In silico analysis of arginine catabolism as a source of nitric oxide or polyamines in endothelial cells.Montañez R R, Rodríguez-Caso C C, Sánchez-Jiménez F F, Medina M A MAfalseMontañez2008_Arginine_catabolism SBML creators: Armando Reyes-Palomares * , Raul Montañez *, Carlos Rodriguez-Caso +, Francisca Sanchez-Jimenez * , Miguel A. Medina * * ProCel Group, Department of Molecular Biology and Biochemistry, Faculty of Sciences, Campus de Teatinos, University of Malaga and CIBER de Enfermedades Raras (CIBER-ER). + Complex Systems Lab (ICREA-UPF), Barcelona Biomedical Research Park (PRBB-GRIB). http://asp.uma.es In silico analysis of arginine catabolism as a source of nitric oxide or polyamines in endothelial cells. Montañez, R et al.: Amino Acids. 2008 Feb;34(2):223-9. The model reproduces the dynamical behavior of the arginine catabolism and transport in relation to the nitric oxide production. In this model there are some additions and corrections to the publication. All perturbations and analysis have produced results very close to the published experiments. The model was successfully tested on CoPaSi v.4.4 (build 26). Erratum: parameters values modificated respect to the publication to reach the steady-state: Kmodc=90 µM (60 µM in the paper) Kiornhat (is equivalent to the parameter Kmefflhat Eq ) = 360 µM (380 µM in the paper) 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. 2024-08-212024-09-022008-09-10BIOMD0000000191R00551R00557R006703.5.3.11.14.13.394.1.1.17REACT_394.2REACT_12443.1REACT_1211.3map0033017520329CHEBI:16467CHEBI:15729MODEL7416883636BIOMD0000000191GO:0006527GO:0006809GO:0006591GO:0005615GO:0005829GO:0004053GO:0015326GO:0004517GO:0004586C00062C0007740674