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k_m = \frac{2}{K_s (1 + \frac{kappa_3}{kappa_4})} v_max = \frac{E_tot kappa_3 K_m}{1 + \frac{kappa_3}{kappa_4}} \frac{d}{d t} (q_1) = - v \frac{d}{d t} (q_2) = v - (0.1 q_2) v = \frac{E_tot kappa_3 kappa_4 K_m K_s (q_1 - q_2)}{2 kappa_4 + (kappa_3 + kappa_4) K_s (q_1 + q_2) + 2 kappa_3 K_s K_s q_1 q_2} v_0 = \frac{E_tot kappa_3 kappa_4 K_m K_s (q_1 - q20)}{2 kappa_4 + (kappa_3 + kappa_4) K_s (q_1 + q20) + 2 kappa_3 K_s K_s q_1 q20} v_MM = \frac{v_max q_1}{k_m + q_1}

Source: Derived from workspace FAIR DOs example 4.2 at changeset 4beb9a11d550.; This exposure was expired. A more up-to-date exposure is available, or view related resources.

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FAIRDO BG example 4.2.cellml