TITLE minimal model of GABAB receptors
COMMENT
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Minimal kinetic model for GABA-B receptors
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Minimal model of GABAB currents including nonlinear stimulus
dependency (fundamental to take into account for GABAB receptors).
Features:
- peak at 100 ms; time course fit from experimental 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
- model of alpha G-protein activation (direct) of K+ channel
- G-protein dynamics is second-order; simplified as follows:
- saturating receptor
- no desensitization
- 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) - K2 * R
dG/dt = K3 * R - K4 * G
R : activated receptor
T : transmitter
G : activated G-protein
K1,K2,K3,K4 = 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
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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).
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This mod file includes a mechanism to describe the time course of transmitter
on the receptors. The time course is approximated here as a brief pulse
triggered when the presynaptic compartment produces an action potential.
The pointer "pre" represents the voltage of the presynaptic compartment and
must be connected to the appropriate variable in oc.
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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, 1996.
Written by Alain Destexhe, Laval University, 1995
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ENDCOMMENT
INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}
NEURON {
POINT_PROCESS GABAb
POINTER pre
RANGE C, R, G, g, gmax, lastrelease
NONSPECIFIC_CURRENT i
GLOBAL Cmax, Cdur, Prethresh, Deadtime
GLOBAL K1, K2, K3, K4, KD, Erev
}
UNITS {
(nA) = (nanoamp)
(mV) = (millivolt)
(umho) = (micromho)
(mM) = (milli/liter)
}
PARAMETER {
Cmax = 1 (mM) : max transmitter concentration
Cdur = 1 (ms) : transmitter duration (rising phase)
Prethresh = 0 : voltage level nec for release
Deadtime = 1 (ms) : mimimum time between release events
:
: Parameters obtained from simplex fitting of the model directly to
: experimental data. In order to activate GABAB currents sufficiently
: a long pulse of transmitter was used for the fit (5ms 0.5mM)
:
K1 = 0.09 (/ms mM) : forward binding rate to receptor
K2 = 0.0012 (/ms) : backward (unbinding) rate of receptor
K3 = 0.18 (/ms) : rate of G-protein production
K4 = 0.034 (/ms) : rate of G-protein decay
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) : transmitter concentration
Gn
pre : pointer to presynaptic variable
lastrelease (ms) : time of last spike
}
STATE {
R : fraction of activated receptor
G : fraction of activated G-protein
}
INITIAL {
C = 0
lastrelease = -1000
R = 0
G = 0
}
BREAKPOINT {
SOLVE bindkin METHOD cnexp
Gn = G^n
g = gmax * Gn / (Gn+KD)
i = g*(v - Erev)
}
DERIVATIVE bindkin {
release() : evaluate the variable C
R' = K1 * C * (1-R) - K2 * R
G' = K3 * R - K4 * G
}
PROCEDURE release() { LOCAL q
:will crash if user hasn't set pre with the connect statement
q = ((t - lastrelease) - Cdur) : time since last release ended
: ready for another release?
if (q > Deadtime) {
if (pre > Prethresh) { : spike occured?
C = Cmax : start new release
lastrelease = t
}
} else if (q < 0) { : still releasing?
: do nothing
} else if (C == Cmax) { : in dead time after release
C = 0.
}
}