BioModelsapplication/xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=curation_notes.txthttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164.pdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164-biopax2.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164-biopax3.owlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=manifest.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164_url.xmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164-matlab.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=curation_image.jpeghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164.odehttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164.pnghttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=metadata.rdfhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164.mhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164.vcmlhttps://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000164?filename=BIOMD0000000164_url.sedmlprimaryOK200Harish DharuriManually curatedordinary differential equation modelL2V1https://www.ebi.ac.uk/biomodels/BIOMD000000016411799242falseBioModelsSBMLModelsSmithAE2002 RanTransport2002MODEL1886921294Alicia E Smith, Boris M Slepchenko, James C Schaff, L M Loew, Ian G MacaraAlicia E Smith11799242, The separate components of nucleocytoplasmic transport have been well characterized, including the key regulatory role of Ran, a guanine nucleotide triphosphatase. However, the overall system behavior in intact cells is difficult to analyze because the dynamics of these components are interdependent. We used a combined experimental and computational approach to study Ran transport in vivo. The resulting model provides the first quantitative picture of Ran flux between the nuclear and cytoplasmic compartments in eukaryotic cells. The model predicts that the Ran exchange factor RCC1, and not the flux capacity of the nuclear pore complex (NPC), is the crucial regulator of steady-state flux across the NPC. Moreover, it provides the first estimate of the total in vivo flux (520 molecules per NPC per second and predicts that the transport system is robust.. 5554, 295. Center for Cell Signaling, Department of Pharmacology, University of Virginia, Charlottesville, VA 22908, USA.hdharuri@cds.caltech.eduCalifornia Institute of TechnologyBIOMD0000000164The separate components of nucleocytoplasmic transport have been well characterized, including the key regulatory role of Ran, a guanine nucleotide triphosphatase. However, the overall system behavior in intact cells is difficult to analyze because the dynamics of these components are interdependent. We used a combined experimental and computational approach to study Ran transport in vivo. The resulting model provides the first quantitative picture of Ran flux between the nuclear and cytoplasmic compartments in eukaryotic cells. The model predicts that the Ran exchange factor RCC1, and not the flux capacity of the nuclear pore complex (NPC), is the crucial regulator of steady-state flux across the NPC. Moreover, it provides the first estimate of the total in vivo flux (520 molecules per NPC per second and predicts that the transport system is robust.Systems analysis of Ran transport.Smith Alicia E AE, Slepchenko Boris M BM, Schaff James C JC, Loew Leslie M LM, Macara Ian G IGfalseSmithAE2002_RanTransport The model reproduces the compartmental model for Ran transport as depicted in Fig 3 of the paper. Model reproduced using MathSBML. 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. 2024-08-212024-09-022008-02-25BIOMD000000016411799242CHEBI:15996CHEBI:17552MODEL1886921294BIOMD0000000164GO:0006913GO:0031291GO:0016311GO:0042325GO:0008536GO:0005487C00044C0003540674P62826P61970