The provided code models the activity of the sodium-potassium pump, a vital membrane protein responsible for maintaining the ionic gradients in cells. Specifically, it aims to replicate the pump's function as described in a modified version of the model from Lindblad et al. (1996).
The sodium-potassium pump (Na⁺/K⁺-ATPase) is an enzyme located in the plasma membrane of cells, crucial for active transport. It transports sodium (Na⁺) and potassium (K⁺) ions across the cell membrane, actively moving 3 Na⁺ ions out of the cell and 2 K⁺ ions into the cell against their respective concentration gradients, using energy derived from ATP hydrolysis. This process is essential for maintaining the electrochemical gradients across the cellular membrane, crucial for various cellular functions, including action potential generation and propagation in neurons.
Ionic Concentrations:
nai = 10 mM
).Ion Transport:
ina
) and the incoming potassium current (ik
). For each cycle of the pump, it moves 3 Na⁺ ions out and 2 K⁺ ions in, leading to the modeled relationship ina = 3 * ink
and ik = -2 * ink
, where ink
is the net current attributable to the pump action.Temperature Dependence:
q10
) to adjust the rate of the pump's activity based on the ambient temperature (celsius
). This reflects the biological characteristic that enzymatic activity can change with temperature.Affinity Parameters:
Kmnai
and Kmko
) reflecting the affinity of the pump for sodium and potassium, respectively. These parameters influence how efficiently the pump can transport ions under varying concentrations.Voltage Modulation:
fnk
) that modulates pump activity based on the membrane potential (v
). This reflects the influence of the membrane potential on the conformational changes and efficacy of the pump.Overall, this model simulates the critical function of the sodium-potassium pump in maintaining ionic gradients necessary for cell function. By regulating ion currents across the membrane, this model provides insights into the pump's role in cellular homeostasis and its response to different biophysical conditions. Such modeling is pivotal in understanding the fundamental processes underlying neuronal excitability and other cellular processes influenced by ionic gradients.