mut.E.indirect: Indirect mutation of enzyme concentrations
In SimEvolEnzCons: Simulation of Evolution of Enzyme Under Constraints

Description Usage Arguments Details Value See Also Examples

Computes the mutant value of enzyme concentrations by an indirect method.

1	mut.E.indirect(delta_fun,E_res,alpha_fun,i_fun)

`delta_fun`	Numeric value of the actual effect of a mutation targeting enzyme `i_fun`, i.e. δ_i
`E_res`	Numeric vector of resident enzyme concentrations
`alpha_fun`	Numeric matrix of redistribution coefficients
`i_fun`	Integer number indicating the enzyme targeted by the mutation

This mutation method is named indirect, because redistribution coefficient matrix M_α and actual mutation effect are used to compute mutant values rather than canonical mutation effect. Expression is : E_j^m = E_j^r + α_ij * δ_i

Constraints between enzymes are implicitly described in redistribution coefficients matrix.

Numeric vector corresponding to mutant value of enzyme concentrations

Use function compute.delta to compute the apparent mutation effect.

Use function alpha_ij to compute matrix of redistribution coefficients.

See function mut.E.direct for a direct computation method of mutation.

E <- c(30,30,30)
beta <- matrix(c(1,10,5,0.1,1,0.5,0.2,2,1),nrow=3)
B <- apply(beta,1,sumbis)
correl <- "RegPos"
mu <- 1 #canonical size of mutation

alph <- alpha_ij(E,correl,beta)
delta <- compute.delta(mu,E,correl,B)

i <- 3 #enzyme directly targeted by mutation
mut.E.indirect(delta[i],E,alph,i)