apparent.activities.Aq: Apparent activity computation
In SimEvolEnzCons: Simulation of Evolution of Enzyme Under Constraints

Description Usage Arguments Details Value See Also Examples

Computes the group apparent pseudo-activities at equilibrium

1	apparent.activities.Aq(phi_q,A_fun,B_fun,correl_fun,eiq_eff=NULL)

`phi_q`	Numeric vector containing the numbers of enzymes in the group (ideally, element of the list returns by `class_group`)
`A_fun`	Numeric vector of activities
`B_fun`	Numeric vector of global co-regulation coefficients. Same length as `E_ini_fun`.
`correl_fun`	Character string indicating the abbreviation of the constraint applied on the system
`eiq_eff`	Numeric vector of the intra-group relative concentrations at effective equilibrium.

Computes the apparent pseudo-activities of regulation groups at theoretical equilibrium (no competition) or effective equilibrium (competition).

When there is competition, eiq_eff is needed.

If there is only one regulation group (all enzymes are co-regulated), apparent activity of the group is not useful. When the enzyme is in a singleton (enzyme independent from all other enzymes), the apparent activity of the group is identical to the activity of the enzyme.

In other functions, pseudo-activity is also named activity.

Numeric value of the apparent activity of chosen group.

Function class_group to classify enzymes in groups.

#Two groups
n <- 3
A <- c(1,10,30)
beta <- diag(1,n) 
beta[1,2] <- -0.32 
beta[2,1] <- 1/beta[1,2]
B <- compute.B.from.beta(beta)

L_Phi <- class_group(beta)

correl <- "RegNeg"
#apply function of all groups
A_app <- unlist(lapply(L_Phi,apparent.activities.Aq,A,B,correl))