This model was successfully tested on Jarnac and MathSBML. The model reproduces the time profile of "Open Probability" of the receptor as shown in Figure 4 of the publication. The value of calcium ion concentration "c" in this model is 10 microM.
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.
- A dynamic model of the type-2 inositol trisphosphate receptor.
- Sneyd J, Dufour JF
- Proceedings of the National Academy of Sciences of the United States of America , 2/ 2002 , Volume 99 , pages: 2398-2403 , PubMed ID: 11842185
- Institute of Information and Mathematical Sciences, Massey University, Albany Campus, Private Bag 102-904, North Shore Mail Centre, Auckland, New Zealand. firstname.lastname@example.org
- The dynamic properties of the inositol (1,4,5)-trisphosphate (IP(3)) receptor are crucial for the control of intracellular Ca(2+), including the generation of Ca(2+) oscillations and waves. However, many models of this receptor do not agree with recent experimental data on the dynamic responses of the receptor. We construct a model of the IP(3) receptor and fit the model to dynamic and steady-state experimental data from type-2 IP(3) receptors. Our results indicate that, (i) Ca(2+) binds to the receptor using saturating, not mass-action, kinetics; (ii) Ca(2+) decreases the rate of IP(3) binding while simultaneously increasing the steady-state sensitivity of the receptor to IP(3); (iii) the rate of Ca(2+)-induced receptor activation increases with Ca(2+) and is faster than Ca(2+)-induced receptor inactivation; and (iv) IP(3) receptors are sequentially activated and inactivated by Ca(2+) even when IP(3) is bound. Our results emphasize that measurement of steady-state properties alone is insufficient to characterize the functional properties of the receptor.
Connected external resources
OmicsDI Impact Metrics
|BIOMD0000000057_url.xml||SBML L2V1 representation of Sneyd2002_IP3_Receptor||26.60 KB||Preview | Download|
|BIOMD0000000057-biopax2.owl||Auto-generated BioPAX (Level 2)||10.63 KB||Preview | Download|
|BIOMD0000000057-biopax3.owl||Auto-generated BioPAX (Level 3)||14.96 KB||Preview | Download|
|BIOMD0000000057.m||Auto-generated Octave file||6.87 KB||Preview | Download|
|BIOMD0000000057.pdf||Auto-generated PDF file||163.69 KB||Preview | Download|
|BIOMD0000000057.png||Auto-generated Reaction graph (PNG)||23.64 KB||Preview | Download|
|BIOMD0000000057.sci||Auto-generated Scilab file||3.88 KB||Preview | Download|
|BIOMD0000000057.svg||Auto-generated Reaction graph (SVG)||12.63 KB||Preview | Download|
|BIOMD0000000057.vcml||Auto-generated VCML file||24.40 KB||Preview | Download|
|BIOMD0000000057.xpp||Auto-generated XPP file||4.61 KB||Preview | Download|
|BIOMD0000000057_urn.xml||Auto-generated SBML file with URNs||26.05 KB||Preview | Download|
- Model originally submitted by : Harish Dharuri
- Submitted: Jun 8, 2006 9:05:15 AM
- Last Modified: Feb 24, 2015 8:32:18 PM
- Submitted on: Feb 24, 2015 8:32:18 PM
- Submitted by: Harish Dharuri
- With comment: Current version of Sneyd2002_IP3_Receptor
- Submitted on: Jun 8, 2006 9:05:15 AM
- Submitted by: Harish Dharuri
- With comment: Original import of Sneyd2002_IP3_Receptor
(*) You might be seeing discontinuous revisions as only public revisions are displayed here. Any private revisions of this model will only be shown to the submitter and their collaborators.
: Variable used inside SBML models
|R => O||compartment*(Phi2*IP3*R-Phi_minus2*O)||IP3=10.0; IP3 = 10.0; Phi_minus2 = 0.0; Phi2 = 0.0|
|O => S||compartment*(Phi3*O-kminus3*S)||kminus3 = 29.8; kminus3=29.8; Phi3 = 0.0|
|R => I1||compartment*(Phi1*R-(kminus1+lminus2)*I1)||lminus2 = 0.8; kminus1 = 0.04; Phi1 = 0.0; lminus2=0.8; kminus1=0.04|
|A => I2||compartment*(Phi5*A-(kminus1+lminus2)*I2)||lminus2 = 0.8; kminus1 = 0.04; lminus2=0.8; kminus1=0.04; Phi5 = 0.0|
|O => A||compartment*(Phi4*O-Phi_minus4*A)||Phi4 = 0.0; Phi_minus4 = 0.0|
(added: 18 Dec 2006, 22:37:15, updated: 18 Dec 2006, 22:37:15)