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gabab3.mod
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gabab3.mod
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TITLE detailed model of GABAB receptors
COMMENT
-----------------------------------------------------------------------------
Kinetic model of GABA-B receptors
=================================
Detailed model of GABAB currents including nonlinear stiumulus
dependency (fundamental to take into account for GABAB receptors)
and precise fit to experimentally-recorded currents.
Features:
- peak at 100 ms; time course fit to Tom Otis' PSC
- NONLINEAR SUMMATION (psc is much stronger with bursts)
due to cooperativity of G-protein binding on K+ channels
Approximations:
- single binding site on receptor
- desensitization of the receptor
- model of alpha G-protein activation (direct) of K+ channel
- G-protein dynamics is second-order; simplified as follows:
- saturating receptor
- Michaelis-Menten of receptor for G-protein production
- "resting" G-protein is in excess
- Quasi-stat of intermediate enzymatic forms
- binding on K+ channel is fast
Kinetic Equations:
dR/dt = K1 * T * (1-R-D) - K2 * R + d2 * D
dD/dt = d1 * R - d2 * D
dG/dt = K3 * R - K4 * G
R : activated receptor
T : transmitter
G : activated G-protein
K1,K2,K3,K4,d1,d2 = kinetic rate cst
n activated G-protein bind to a K+ channel:
n G + C <-> O (Alpha,Beta)
If the binding is fast, the fraction of open channels is given by:
O = G^n / ( G^n + KD )
where KD = Beta / Alpha is the dissociation constant
-----------------------------------------------------------------------------
Based on voltage-clamp recordings of GABAB receptor-mediated currents in rat
hippocampal slices (Otis et al, J. Physiol. 463: 391-407, 1993), this model
was fit directly to experimental recordings in order to obtain the optimal
values for the parameters (see Destexhe and Sejnowski, 1995).
-----------------------------------------------------------------------------
This mod file does not include mechanisms for the release and time course
of transmitter; it is to be used in conjunction with a sepearate mechanism
to describe the release of transmitter and that provides the concentration
of transmitter in the synaptic cleft (to be connected to pointer C here).
-----------------------------------------------------------------------------
See details in:
Destexhe, A. and Sejnowski, T.J. G-protein activation kinetics and
spill-over of GABA may account for differences between inhibitory responses
in the hippocampus and thalamus. Proc. Natl. Acad. Sci. USA 92:
9515-9519, 1995.
See also:
Destexhe, A., Mainen, Z.F. and Sejnowski, T.J. Kinetic models of
synaptic transmission. In: Methods in Neuronal Modeling (2nd edition;
edited by Koch, C. and Segev, I.), MIT press, Cambridge, 1998, pp. 1-25.
(electronic copy available at http://cns.iaf.cnrs-gif.fr)
Written by Alain Destexhe, Laval University, 1995
-----------------------------------------------------------------------------
ENDCOMMENT
INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
NEURON {
POINT_PROCESS GABAb3
POINTER C
RANGE R, D, G, g, gmax
NONSPECIFIC_CURRENT i
GLOBAL K1, K2, K3, K4, KD, d1, d2, Erev
}
UNITS {
(nA) = (nanoamp)
(mV) = (millivolt)
(umho) = (micromho)
(mM) = (milli/liter)
}
PARAMETER {
:
: From simplex fitting to experimental data
: (Destexhe and Sejnowski, 1995)
:
K1 = 0.66 (/ms mM) : forward binding rate to receptor
K2 = 0.020 (/ms) : backward (unbinding) rate of receptor
K3 = 0.083 (/ms) : rate of G-protein production
K4 = 0.0079 (/ms) : rate of G-protein decay
d1 = 0.017 (/ms) : rate of desensitization
d2 = 0.0053 (/ms) : rate of re-sensitization
KD = 100 : dissociation constant of K+ channel
n = 4 : nb of binding sites of G-protein on K+
Erev = -95 (mV) : reversal potential (E_K)
gmax (umho) : maximum conductance
}
ASSIGNED {
v (mV) : postsynaptic voltage
i (nA) : current = g*(v - Erev)
g (umho) : conductance
C (mM) : pointer to transmitter concentration
Gn
}
STATE {
R : fraction of activated receptor
D : fraction of desensitized receptor
G : fraction of activated G-protein
}
INITIAL {
R = 0
D = 0
G = 0
}
BREAKPOINT {
SOLVE bindkin METHOD cnexp
Gn = G^n
g = gmax * Gn / (Gn+KD)
i = g*(v - Erev)
}
DERIVATIVE bindkin {
R' = K1 * C * (1-R-D) - K2 * R + d2 * D
D' = d1 * R - d2 * D
G' = K3 * R - K4 * G
}