Mass action rate law for first order irreversible reactions

Reaction scheme where the products are created from the reactants and the change of a product quantity is proportional to the product of reactant activities. The reaction scheme does not include any reverse process that creates the reactants from the products. The change of a product quantity is proportional to the quantity of one reactant.

k1*PRODUCT<substrate_i> 2013-07-31T12:56:52Z Mass action rate law for reversible reactions

Reaction scheme where the products are created from the reactants and the change of a product quantity is proportional to the product of reactant activities. The reaction scheme does include a reverse process that creates the reactants from the products.

k1*PRODUCT<substrate_i>-k2*PRODUCT<product_j> 2013-07-31T12:29:40Z abush84@gmail.com Bush Alan IFIBYNE-UBA-CONICET Carrousel model of G protein activation. See model definition in the Appendix to Bush, Vasen et al 2016. The rates used are the ones defined by the symmetry assumptions and the reference parameters. The concentration units used in the model are #/fl. To transform units we used the equivalence 1.66 nM = #/fl. The factor 1.66 appears in second order rates, and dividing K_d values. The ligand L is not explicitly modeled as a specie. It is introduced in the model as a modulator of the effective k_on_R·L rates ( k_on_R·L = [L] * k_off_L·R / K_d_L·R). Note that this allows us to express the fixed extracelular ligand concentration in nM (assuming no ligand depletion), and there is therefore no need to transform the units of K_d_L·R to #/fl. All parameters are defined as global quantities. See references for each paramter in the correspondent comment sections. Parameter scan of total amount of receptors and k_orr_R·G for figure 3 of Bush, Vasen et al 2016. # internal version 039 2013-07-31T12:39:53Z Plasma membrane volume. Defined as the volume contained in h=50nm spanning the membrane, in a spherical cell of Rc=2.5um of radius. V_PM=4*pi*h*Rc^2=3.92 fl 2013-07-31T12:43:22Z Free, unoccupied receptor, uncoupled from G protein <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[Rtot],Reference=InitialValue>/<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Reference=InitialVolume> 2013-07-31T12:44:13Z Ligand bound receptor, uncoupled from G protein 2013-07-31T12:45:16Z Heterotrimeric G protein, uncoupled from receptor <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[Gtot],Reference=InitialValue>/<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Reference=InitialVolume> 2013-07-31T12:47:04Z free GalphaGTP 2013-07-31T12:47:15Z free GalphaGDP 2013-07-31T12:47:27Z unoccupied receptor - heterotirmeric G protein complex 2013-07-31T12:48:25Z free G_beta_gamma heterodimer 2013-07-31T12:48:55Z Ligand bound receptor, coupled to heterotrimeric G protein 2013-07-31T12:49:30Z Ligand bound receptor, coupled to GalphaGTP 2013-07-31T12:49:42Z unoccupied receptor - GalphaGDP complex 2013-07-31T12:51:35Z unoccupied receptor - GalphaGTP complex 2013-07-31T12:52:30Z Ligand bound receptor, coupled to GalphaGDP 2013-10-09T14:44:50Z Extracelular ligand (alpha-factor) concentrarion in nM. 2013-10-09T14:45:55Z Kd of alpha-factor with Ste2, expressed in nM. Average of the values in the follwing publications. PMID 15491163, PMID 2839507, PMID 3023832, PMID 9819407, PMID 9182592, PMID 10866688, PMID 8524302, PMID 11495900, PMID 8385135 2013-10-09T14:47:50Z Adimensional parameter used to code the micro-reversibility restrictions. lambda=K_d_L.RG/K_d_L.R 2013-10-09T14:49:27Z Adimensional parameter used to code the micro-reversibility restrictions. lambda_t=K_d_L.RGt/K_d_L.R 2013-10-09T14:50:28Z Adimensional parameter used to code the micro-reversibility restrictions. lambda_d=K_d_L.RGd/K_d_L.R 2013-10-09T14:52:05Z Dissociation constant (Kd) between Galpha and Ste2, expressed in nM. Geometrical average of values reported in Alves et al. 2005 for transducin (Gt) and rhodopsin, and values reported in Alves et al. 2003 for the human delta-opioid receptor and Galpha_0, Galpha_i1, Galpha_i2, Galpha_i3. 2013-10-09T14:53:33Z Ratio of Kds of receptor binding to GαGTP over heterotrimeric G protein. Assumed to be 1 by symmetry assumptions. Adimensional parameter used to code the micro-reversibility restrictions. eta=K_d_R.Gt/K_d_R.G 2013-10-09T14:55:19Z Adimensional parameter used to code the micro-reversibility restrictions. rho=K_d_R.Gd/K_d_R.G 2013-10-09T15:03:18Z Exchange reaction rate for uncoupled heterotrimeric G protein set to k_Ef_Gd by symmetry assumptions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_Gd],Reference=InitialValue> 2013-10-09T15:05:17Z Hydrolysis rate of GTP in GaGTP uncoupled from receptor. Average of rates reported in Yi et al. 2003 and Apanovitch en el. 1998. 2013-10-09T15:06:15Z reassociation rate of uncoupled GαGDP (uncoupled) to Gβγ Estimated in this work such that Gtot * k_Af_Gd = 1000 * k_Hf_RGt. This ensures that the hydrolysis of GTP and not the reassociation with Gbg is the limiting step in the inactivation of the system. Estimated to be k_Af_Gd=1000*(0.11s-1)/(860nM)= 0.13 nM-1 s-1 1.66*0.13 2013-10-09T15:08:03Z Nucleotide exchange reaction rate for heterotrimeric G protein coupled to unoccupied receptor. Set to k_Ef_RGd by symmetry assumption. 2013-10-09T15:08:19Z Nucleotide exchange reaction rate for heterotrimeric G protein coupled to ligand-occupied receptor. from Biddlecome et al. 1996 and Mukhopadhyay and Ross 1999 (PMID 8626481, PMID 10449728) 2013-10-09T15:08:51Z Hydrolysis rate of GTP in GaGTP coupled to occupied receptor. Set to k_Hf_RGt by symmetry assumptions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Hf_RGt],Reference=Value> 2013-10-09T15:09:21Z reassociation rate of GαGDP (coupled to occupied R) to Gβγ, assumed in this work equal to k_Af_Gd by symmetry assumption <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_Gd],Reference=Value> 2013-10-09T15:10:28Z Hydrolysis rate of GTP in GaGTP coupled to unoccupied receptor Rates reported in Yi et al. 2003 for Sst2 (GAP) stimulated hydrolysis of GTP in Gpa1. (Note that Sst2 interacts with Ste2, see main text). 2013-10-09T15:11:29Z reassociation rate of GαGDP (coupled to unoccupied R) to Gβγ assumed in this work equal to k_Af_Gd by symmetry assumption. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_Gd],Reference=Value> 2013-10-09T15:12:41Z total amount of receptor molecules 2013-10-09T15:12:56Z total amount of heterotrimeric G protein 2013-10-09T15:22:09Z on-rate between ligand and uncoupled receptor. Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off), the extracelular ligand concentration [L] and adimensional parameters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[L],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·R],Reference=Value>/<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_L·R],Reference=Value>) 2013-10-09T15:23:05Z off-rate between the ligand (alpha-factor mating pheromone) and uncoupled receptor (Ste2). Set to k_off_L.R=0.001 s-1. Reference: Bajaj et al., 2004a; Jenness et al., 1983 (PMID 6360378, PMID 15491163). 2013-10-09T15:23:44Z on-rate between ligand and receptor coupled to heterotrimeric G protein. Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off), the extracelular ligand concentration [L] and adimensional parameters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[L],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·RG],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda],Reference=Value>*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_L·R],Reference=Value>)) 2013-10-09T15:25:23Z off-rate between the ligand (alpha-factor mating pheromone) and receptor (Ste2) coupled to heterotrimeric G protein. Set to k_off_L.R by symmetry assumptions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·R],Reference=Value> 2013-10-09T15:26:35Z on-rate between ligand and receptor coupled to GalphaGTP. Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off), the extracelular ligand concentration [L] and adimensional parameters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[L],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·RGt],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda_t],Reference=Value>*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_L·R],Reference=Value>)) 2013-10-09T15:27:59Z off-rate between the ligand (alpha-factor mating pheromone) and receptor (Ste2) coupled to GalphaGTP. Set to k_off_L.R by symmetry assumptions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·R],Reference=Value> 2013-10-09T15:29:05Z on-rate between ligand and receptor coupled to GalphaGDP. Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off), the extracelular ligand concentration [L] and adimensional parameters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[L],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·RGd],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda_d],Reference=Value>*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_L·R],Reference=Value>)) 2013-10-09T15:30:16Z off-rate between the ligand (alpha-factor mating pheromone) and receptor (Ste2) coupled to GalphaGDP. Set to k_off_L.R by symmetry assumptions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·R],Reference=Value> 2013-10-09T15:31:06Z on-rate between the heterotrimeric G protein and unoccupied receptor Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off) and adimensional paramters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·G],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_R·G],Reference=Value>/1.66) 2013-10-09T15:32:23Z off-rate of receptor-heterotrimeric G protein interaction. k_off_R.G=0.09 s-1, calculated from the time constants (tau) reported for the A_A2-adenosin and beta1-adrenergic receptors disociation from Galpha_s (Hein et al. 2006). 2013-10-09T15:33:08Z on-rate between the heterotrimeric G protein and ligand-occupied receptor Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off) and adimensional paramters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_LR·G],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_R·G],Reference=Value>/1.66)) 2013-10-09T15:34:28Z off-rate between the heterotrimeric G protein and ligand-occupied receptor set to k_off_R.G by symmetry assumption <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·G],Reference=Value> 2013-10-09T15:35:37Z on-rate between GalphaGTP and unoccupied receptor Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off) and adimensional paramters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·Gt],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[eta],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_R·G],Reference=Value>/1.66)) 2013-10-09T15:36:40Z off-rate between the GalphaGTP and unoccupied receptor set to k_off_R.G by symmetry assumption <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·G],Reference=Value> 2013-10-09T15:37:12Z on-rate between GalphaGTP and ligand-occupied receptor Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off) and adimensional paramters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_LR·Gt],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda_t],Reference=Value>*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[eta],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_R·G],Reference=Value>/1.66)) 2013-10-09T15:38:34Z off-rate between the GalphaGTP and ligand-occupied receptor set to k_off_R.G by symmetry assumption <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·G],Reference=Value> 2013-10-09T15:39:37Z on-rate between GalphaGDP and unoccupied receptor Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off) and adimensional paramters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·Gd],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[rho],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_R·G],Reference=Value>/1.66)) 2013-10-09T15:40:48Z off-rate between the GalphaGDP and unoccupied receptor set to k_off_R.G by symmetry assumption <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·G],Reference=Value> 2013-10-09T15:41:17Z on-rate between GalphaGDP and ligand-occupied receptor Value calculated from the correspondent dissociacion constant (K_d), off-rate (k_off) and adimensional paramters denoted by greek letters, used to code the micro-reversibility restrictions. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_LR·Gd],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda_d],Reference=Value>*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[rho],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_R·G],Reference=Value>/1.66)) 2013-10-09T15:43:03Z off-rate between the GalphaGDP and ligand-occupied receptor set to k_off_R.G by symmetry assumption <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·G],Reference=Value> 2013-10-09T15:47:04Z dissociation rate of uncoupled GαGDP (uncoupled) from Gβγ. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_Gd],Reference=Value>/1.66*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_Gd·Gbg],Reference=Value> 2013-10-09T15:49:29Z dissociation rate of uncoupled GαGDP (coupled to unoccupied receptor) from Gβγ. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_RGd],Reference=Value>/1.66*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_Gd·Gbg],Reference=Value>/<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[rho],Reference=Value> 2013-10-09T15:51:21Z dissociation rate of uncoupled GαGDP (coupled to occupied receptor) from Gβγ. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda],Reference=Value>*(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_LRGd],Reference=Value>/1.66)*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[K_d_Gd·Gbg],Reference=Value>/(<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[lambda_d],Reference=Value>*<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[rho],Reference=Value>) 2013-10-10T11:11:57Z variable representing total amount occupied receptor at a given time. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRG],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRGd],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRGt],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LR],Reference=Concentration> 2013-10-10T11:13:45Z variable representing total amount of receptor-Galpha complex <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[RG],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[RGd],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[RGt],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRG],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRGd],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRGt],Reference=Concentration> 2013-10-10T11:16:00Z variable representing total amount of heteromtrimeric G protein at a given time. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[G],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRG],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[RG],Reference=Concentration> 2013-10-10T11:16:57Z variable representing total amount of GaGDP at a given time. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[Gd],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRGd],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[RGd],Reference=Concentration> 2013-10-10T11:17:45Z variable representing total amount of GaGTP at a given time. <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[Gt],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[LRGt],Reference=Concentration>+<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Vector=Metabolites[RGt],Reference=Concentration> 2013-10-15T11:28:39Z exchange reaction rate for GaGDP (Gpa1) uncoupled from receptor k_Ef_G=0.00062 s-1 reference: Apanovitch et al. 1998 (PMID 9537998) 2013-10-15T11:29:39Z Nucleotide exchange reaction rate for GalphaGDP coupled to unoccupied receptor. Estimated as k_Ef_Gd by in this work (See supplementary materials). <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_RG],Reference=Value> 2013-10-15T11:30:28Z Nucleotide exchange reaction rate for GaGDP coupled to ligand-occupied receptor. set to k_Ef_LRG by symmetry assumptions <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_LRG],Reference=Value> 2015-12-16T12:10:06Z Dissociation constante between GaGDP and Gbg, expressed in nM. Estimated based on boundaries defined by the Ste5 - Gbg dissociation constant (Bush and Colman-Lerner 2013) and the lower limit for Kd values of protein-protein interactions (Chen et al 2013). See supplementary materials for details. 2013-07-31T13:16:38Z 2013-07-31T13:40:53Z 2013-07-31T13:44:20Z 2013-07-31T13:44:55Z 2013-07-31T13:46:23Z 2013-07-31T13:46:57Z 2013-07-31T13:48:53Z 2013-07-31T13:49:43Z 2013-07-31T13:53:11Z 2013-07-31T13:55:40Z 2013-07-31T13:56:55Z 2013-07-31T13:59:07Z 2013-07-31T14:01:18Z 2013-07-31T14:02:26Z 2013-07-31T14:03:31Z 2013-07-31T14:04:24Z 2013-07-31T14:06:14Z 2013-07-31T14:07:05Z 2013-08-01T11:14:29Z 2013-10-15T11:26:36Z 2013-10-15T11:31:49Z 2013-10-15T11:32:54Z <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[Rtot],Reference=InitialValue>/<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Reference=InitialVolume> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[Gtot],Reference=InitialValue>/<CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Compartments[PM],Reference=InitialVolume> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_R·G],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·G],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_L·R],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·R],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_R·Gt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·Gt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_R·Gd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_R·Gd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_LR·G],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_LR·G],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_LR·Gt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_LR·Gt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_LR·Gd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_LR·Gd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_L·RG],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·RG],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_L·RGt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·RGt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_G],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Hf_Gt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_Gd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ar_Gd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_RG],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_LRG],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Hf_RGt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Hf_LRGt],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_RGd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ar_RGd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Af_LRGd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ar_LRGd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_on_L·RGd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_off_L·RGd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_Gd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_RGd],Reference=InitialValue> <CN=Root,Model=Bush2016-Simplified-Carrousel-model-of-GPCR,Vector=Values[k_Ef_LRGd],Reference=InitialValue> 0 0 0 0 0 0 3308 0 0 0 0 0 2042 0.00062 0.2158 0.11 0.2158 0.2158 0 0 0.001 0 0.001 0 0.001 0.004611111111111112 0.004611111111111112 0.1 0.004611111111111112 0.1 0.004611111111111112 0.1 0.004611111111111112 0.1 0.004611111111111112 0.1 0.0013 0.0013 0.0013 0.00062 1.5 0 0 520.9183673469388 0 0 3.92 0 5.6 1 1 1 36 1 1 0.002 0.00062 1.5 0.11 3308 2042 0.001 0.1 0.00062 0.01 Automatically generated report.