Model Mathematics

\frac{d}{d time} (q_GTP) = - v_R_1a_cGMP \frac{d}{d time} (q_E5c) = (- v_R_1a_cGMP) + v_R_1b_cGMP \frac{d}{d time} (q_cGMP) = v_R_1b_cGMP - v_R_2a_cGMP - v_R_2b_cGMP \frac{d}{d time} (q_PDE) = (- v_R_2a_cGMP) + v_R_2b_cGMP \frac{d}{d time} (q_GTP_E5c) = v_R_1a_cGMP - v_R_1b_cGMP \frac{d}{d time} (q_cGMP_PDE) = v_R_2a_cGMP - v_R_2b_cGMP \frac{d}{d time} (q_GMP) = v_R_2b_cGMP

mu_GTP = R T \ln (K_GTP q_GTP) mu_E5c = R T \ln (K_E5c q_E5c) mu_cGMP = R T \ln (K_cGMP q_cGMP) mu_PDE = R T \ln (K_PDE q_PDE) mu_GTP_E5c = R T \ln (K_GTP_E5c q_GTP_E5c) mu_cGMP_PDE = R T \ln (K_cGMP_PDE q_cGMP_PDE) mu_GMP = R T \ln (K_GMP q_GMP) v_R_1a_cGMP = kappa_R_1a_cGMP (ⅇ^{\frac{mu_GTP + mu_E5c}{R T}} - (ⅇ^{\frac{mu_GTP_E5c}{R T}})) v_R_1b_cGMP = kappa_R_1b_cGMP (ⅇ^{\frac{mu_GTP_E5c}{R T}} - (ⅇ^{\frac{mu_cGMP + mu_E5c}{R T}})) v_R_2a_cGMP = kappa_R_2a_cGMP (ⅇ^{\frac{mu_cGMP + mu_PDE}{R T}} - (ⅇ^{\frac{mu_cGMP_PDE}{R T}})) v_R_2b_cGMP = kappa_R_2b_cGMP (ⅇ^{\frac{mu_cGMP_PDE + mu_cGMP}{R T}} - (ⅇ^{\frac{mu_GMP + mu_PDE}{R T}}))