sarma3
The SBML for this model was obtained from the BioModels database (BioModels ID: BIOMD0000000432) Biomodels notes: The model [M4_K2_QSS_USEQ] correspond to type M4 with mass-action kinetics K2, in QSS (quasi steady state) and USEQ (Unsequestrated ) condition. Figure 5c is reproduced by setting P2=5nM and 1000nM. The simulation was done using SBML odeSolver and the plot was generated using Gnuplot. JWS Online curation: This model was curated by reproducing the figures as described in the BioModels Notes. No additional changes were made.
None
None
None
None
None
None
Unit definitions have no effect on the numerical analysis of the model. It remains the responsibility of the modeler to ensure the internal numerical consistency of the model. If units are provided, however, the consistency of the model units will be checked.
| Name | Definition | |
|---|---|---|
| — | 0.001 litre | |
| — | 1e-09 mole |
| Id | Name | Spatial dimensions | Size | |
|---|---|---|---|---|
| compartment_1 | compartment | 3.0 | 1.0 | |
| compartment_2 | No Name | 3.0 | 1.0 |
| Id | Name | Initial quantity | Compartment | Fixed | |
|---|---|---|---|---|---|
| species_1 | MKKK | 300.0 | compartment_1 (compartment) | ✘ | |
| species_10 | P2 | 200.0 | compartment_1 (compartment) | ✘ | |
| species_11 | Sig | 20.0 | compartment_1 (compartment) | ✘ | |
| species_2 | MKKK_P | 0.0 | compartment_1 (compartment) | ✘ | |
| species_3 | MKK | 1199.99994221325 | compartment_1 (compartment) | ✘ | |
| species_4 | MKK_P | 0.0 | compartment_1 (compartment) | ✘ | |
| species_5 | MKK_PP | 0.0 | compartment_1 (compartment) | ✘ | |
| species_6 | MK | 1199.99994221325 | compartment_1 (compartment) | ✘ | |
| species_7 | MK_P | 0.0 | compartment_1 (compartment) | ✘ | |
| species_8 | MK_PP | 0.0 | compartment_1 (compartment) | ✘ | |
| species_9 | P1 | 100.0 | compartment_1 (compartment) | ✘ |
Initial assignments are expressions that are evaluated at time=0. It is not recommended to create initial assignments for all model entities. Restrict the use of initial assignments to cases where a value is expressed in terms of values or sizes of other model entities. Note that it is not permitted to have both an initial assignment and an assignment rule for a single model entity.
| Definition |
|---|
| Id | Name | Objective coefficient | Reaction Equation and Kinetic Law | Flux bounds | |
|---|---|---|---|---|---|
| reaction_1 | 1 | species_1 > species_2 compartment_1 * function_1(species_1, parameter_1, k1, species_11) | |||
| reaction_10 | 10 | species_7 > species_6 compartment_1 * function_10(species_7, species_5, species_4, species_8, species_3, species_6, species_10, parameter_10, parameter_13, parameter_14, parameter_12, parameter_9, k10b) | |||
| reaction_2 | 2 | species_2 > species_1 compartment_1 * function_2(species_2, species_1, species_9, species_5, species_4, species_3, parameter_11, parameter_2, parameter_5, parameter_6, k2a) | |||
| reaction_3 | 3 | species_3 > species_4 compartment_1 * function_3(k3, species_2, species_3, parameter_3, species_4, parameter_4) | |||
| reaction_4 | 4 | species_4 > species_5 compartment_1 * function_4(k4, species_2, species_4, parameter_4, species_3, parameter_3) | |||
| reaction_5 | 5 | species_5 > species_4 compartment_1 * function_5(species_5, species_4, species_7, species_8, species_9, species_3, species_6, k5a, parameter_5, species_1, species_2, k5b, species_10, parameter_13, parameter_6, parameter_11, parameter_2, parameter_14, parameter_12, parameter_10, parameter_9) | |||
| reaction_6 | 6 | species_4 > species_3 compartment_1 * function_6(species_9, species_4, species_5, species_7, species_8, species_3, species_6, k6a, parameter_6, species_1, species_2, species_10, parameter_14, parameter_2, parameter_11, parameter_5, k6b, parameter_13, parameter_12, parameter_10, parameter_9) | |||
| reaction_7 | 7 | species_6 > species_7 compartment_1 * function_7(k7, species_5, species_6, parameter_7, species_7, parameter_8) | |||
| reaction_8 | 8 | species_7 > species_8 compartment_1 * function_8(k7, species_5, species_7, parameter_8, species_6, parameter_7) | |||
| reaction_9 | 9 | species_8 > species_7 compartment_1 * function_9(species_8, species_9, species_4, species_7, species_3, species_6, species_10, parameter_9, parameter_13, parameter_14, parameter_12, parameter_10, k9b) |
| Id | Value | |
|---|---|---|
| parameter_1 | 100.0 | |
| parameter_10 | 108.6 | |
| parameter_11 | 3000000000000000000000000000000000000000000000000000 | |
| parameter_12 | 3000000000000000000000000000000000000000000000000000 | |
| parameter_13 | 24.3 | |
| parameter_14 | 108.6 | |
| parameter_2 | 54.3 | |
| parameter_3 | 50.5 | |
| parameter_4 | 500.0 | |
| parameter_5 | 24.3 | |
| parameter_6 | 108.6 | |
| parameter_7 | 50.5 | |
| parameter_8 | 500.0 | |
| parameter_9 | 24.3 |
| Id | Value | Reaction | |
|---|---|---|---|
| k1 | 1.0 | reaction_1 (1) | |
| k2a | 0.086 | reaction_2 (2) | |
| k3 | 0.01 | reaction_3 (3) | |
| k4 | 15.0 | reaction_4 (4) | |
| k5a | 0.092 | reaction_5 (5) | |
| k5b | 0.092 | reaction_5 (5) | |
| k6a | 0.086 | reaction_6 (6) | |
| k6b | 0.086 | reaction_6 (6) | |
| k7 | 0.01 | reaction_7 (7) | |
| k7 | 15.0 | reaction_8 (8) | |
| k9b | 0.092 | reaction_9 (9) | |
| k10b | 0.086 | reaction_10 (10) |
| Definition |
|---|
| Definition |
|---|
| Definition |
|---|
| Definition | |
|---|---|
| function_10(MK_P, MKK_PP, MKK_P, MK_PP, MKK, MK, P2, K10b, K5b, K6b, Kse2, K9b, k10b) = k10b * P2 * MK_P / K10b / (1 + MKK_PP / K5b + MKK_P / K6b + MKK / Kse2 + MK / Kse2 + MK_P / K10b + MK_PP / K9b) | |
| function_8(k7, MKK_PP, MK_P, K8, MK, K7) = k7 * MKK_PP * MK_P / K8 / (1 + MK / K7 + MK_P / K8) | |
| function_9(MK_PP, MKK_PP, MKK_P, MK_P, MKK, MK, P2, K9b, K5b, K6b, Kse2, K10b, k9b) = k9b * P2 * MK_PP / K9b / (1 + MKK_PP / K5b + MKK_P / K6b + MKK / Kse2 + MK / Kse2 + MK_P / K10b + MK_PP / K9b) | |
| function_7(k7, MKK_PP, MK, K7, MK_P, K8) = k7 * MKK_PP * MK / K7 / (1 + MK / K7 + MK_P / K8) | |
| function_5(MKK_PP, MKK_P, MK_P, MK_PP, P1, MKK, MK, k5a, K5a, MKKK, MKKK_P, k5b, P2, K5b, K6a, Kse1, K2a, K6b, Kse2, K10b, K9b) = k5a * P1 * MKK_PP / K5a / (1 + MKKK_P / K2a + MKKK / Kse1 + MKK_PP / K5a + MKK_P / K6a + MKK / Kse1) + k5b * P2 * MKK_PP / K5b / (1 + MKK_PP / K5b + MKK_P / K6b + MKK / Kse2 + MK / Kse2 + MK_P / K10b + MK_PP / K9b) | |
| function_4(k4, MKKK_P, MKK_P, K4, MKK, K3) = k4 * MKKK_P * MKK_P / K4 / (1 + MKK / K3 + MKK_P / K4) | |
| function_1(MKKK, K1, k1, Sig) = k1 * Sig * MKKK / (K1 + MKKK) | |
| function_6(P1, MKK_P, MKK_PP, MK_P, MK_PP, MKK, MK, k6a, K6a, MKKK, MKKK_P, P2, K6b, K2a, Kse1, K5a, k6b, K5b, Kse2, K10b, K9b) = k6a * P1 * MKK_P / K6a / (1 + MKKK_P / K2a + MKKK / Kse1 + MKK_PP / K5a + MKK_P / K6a + MKK / Kse1) + k6b * P2 * MKK_P / K6b / (1 + MKK_PP / K5b + MKK_P / K6b + MKK / Kse2 + MK / Kse2 + MK_P / K10b + MK_PP / K9b) | |
| function_3(k3, MKKK_P, MKK, K3, MKK_P, K4) = k3 * MKKK_P * MKK / K3 / (1 + MKK / K3 + MKK_P / K4) | |
| function_2(MKKK_P, MKKK, P1, MKK_PP, MKK_P, MKK, Kse1, K2a, K5a, K6a, k2a) = k2a * MKKK_P * P1 / K2a / (1 + MKKK_P / K2a + MKKK / Kse1 + MKK_PP / K5a + MKK_P / K6a + MKK / Kse1) |
| Trigger | Assignments |
|---|