Models

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Kuroda2001_NO_cGMP_Pathway

ABSTRACT: This model of sGC is based on the paper by Kuroda S. et al. J Neurosci. (2001) 21(15):5693-702 . This models features the activation of sGC by NO, synthesis of cGMP, activity of PKG and PP2A in the synapse. The rates and concentrations have been taken from literature. It contains only the part described in figure 1B of the article. This model originates from BioModels Database: A Database of Annotated Published Models. 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.

SUBMITTER: Sharat Vayttaden  

PROVIDER: MODEL4780181279 | BioModels | 2005-01-01

REPOSITORIES: BioModels

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Publications

Exploration of signal transduction pathways in cerebellar long-term depression by kinetic simulation.

Kuroda S S   Schweighofer N N   Kawato M M  

The Journal of neuroscience : the official journal of the Society for Neuroscience 20010801 15

Because multiple molecular signal transduction pathways regulate cerebellar long-term depression (LTD), which is thought to be a possible molecular and cellular basis of cerebellar learning, the systematic relationship between cerebellar LTD and the currently known signal transduction pathways remains obscure. To address this issue, we built a new diagram of signal transduction pathways and developed a computational model of kinetic simulation for the phosphorylation of AMPA receptors, known as  ...[more]

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