coef_rep: Response coefficient computation
In SimEvolEnzCons: Simulation of Evolution of Enzyme Under Constraints

Description Usage Arguments Details Value References See Also Examples

Computes the response coefficients for each enzyme

1	coef_rep(E_fun,A_fun,correl_fun,beta_fun=NULL)

`E_fun`	Numeric vector of concentrations
`A_fun`	Numeric vector of activities
`correl_fun`	Character string indicating the abbreviation of the constraint applied on the system
`beta_fun`	Matrix of co-regulation coefficients

The response coefficients are influenced by the applied constraint.

Response coefficients are an extension of the control coefficients defined in the Metabolic Control Theory (Kacser and Burns, 1973). For further details on how the response coefficient is calculated, see Lion et al. (2004).

A_fun and E_fun need to have the same length. The restrictions on beta_fun are explained in alpha_ij.

Numeric vector of the response coefficients of each enzyme

Lion, S., F. Gabriel, B. Bost, J. Fiévet, C. Dillmann, and D. De Vienne, 2004. An extension to the metabolic control theory taking into account correlations between enzyme concentrations. European Journal of Biochemistry 271:4375–4391.

Use function activities to compute enzyme activities.

A <- c(1,10,30)
E <- c(30,30,30)
beta <- matrix(c(1,10,5,0.1,1,0.5,0.2,2,1),nrow=3)
correl <- "SC"

response <- coef_rep(E,A,correl,beta)


# result : response = c(0.88235294, 0.08823529, 0.02941176)