- Author:
- Shelley Fong <s.fong@auckland.ac.nz>
- Date:
- 2021-11-17 11:24:58+13:00
- Desc:
- Fixing
- Permanent Source URI:
- https://models.cellml.org/workspace/6ba/rawfile/de4ddbbb49861208831b08beb6d545a7d281723b/exposure/exposure_frontpage.rst
About this model
====================
This is a bond graph model of beta-1 adrenergic receptor ( :math:`{\beta}` 1AR) metabolism in the cardiac cell.
**INPUTS:**
- Ligand stimulus e.g. isoproterenol
**OUTPUTS:**
- Change in molar amount of :math:`{\beta}` 1AR, :math:`{\beta}` 1AR\ :sub:`p`\, :math:`{\beta}` 1AR\ :sub:`d`\
Model status
=============
The current CellML implementation runs in OpenCOR.
Model overview
===================
This model is made by from an existing kinetic model, and translating the mathematics into the bond-graph formalism.
A description of the process to find bond-graph parameter is shown in the folder `parameter_finder <parameter_finder>`_, which relies on the:
1. stoichiometry of system
2. kinetic constants for forward/reverse reactions
- If not already, all reactions are made reversible by assigning a small value to the reverse direction.
3. `linear algebra script <https://models.physiomeproject.org/workspace/6ba/file/c32be022513dc4b620d74803a6ace6ca2d817e11/parameter_finder/find_BG_parameters.py>`_.
Here, this solve process is performed in Python.
Original kinetic model
======================
Saucerman et al: `Modeling beta-adrenergic control of cardiac myocyte contractility in silico. <https://models.physiomeproject.org/exposure/9766d9bd0325c31e47a31b291e26ccad>`_
