flux.shape.for.all.points: Flux shape computing for all points
In SimEvolEnzCons: Simulation of Evolution of Enzyme Under Constraints

Description Usage Arguments Details Value See Also

View source: R/flux.shape.for.all.points.R

flux.shape.for.all.points computes flux and selection coefficient for various points (i.ei. vector of concentrations), giving the flux shape

1 2	flux.shape.for.all.points(Etot_fun, A_fun, nu_fun, correl_fun, beta_fun=NULL, E_ini_fun=NULL, n_fun=3)

`Etot_fun`	Numeric. The total concentration
`A_fun`	Numeric vector of activities
`nu_fun`	Numeric value of canonical mutation effect
`correl_fun`	Character string indicating the abbreviation of the constraint applied on the system
`beta_fun`	Matrix of co-regulation coefficients
`E_ini_fun`	Numeric vector corresponding to initial concentrations.
`n_fun`	Numeric. Number of enzymes. Necessarily equal to 3 for this function.

Every enzyme correspond to one dimension in a n-dimensional graph.

For various concentration vectors, this function computes flux and selection coefficient.

Selection coefficient are computed from two different expressions (discrete by coef_sel.discrete and continuous by coef_sel.continue), for a mutation of canonical size nu_fun.

E_ini_fun is rescaled by a cross product to have sum of E_ini_fun equal to Etot_fun.

Invisible list of 3 elements:

$J : Numeric vector of flux.
$sel_disc : Numeric matrix of n_fun columns corresponding to discrete selection coefficient, and each row corresponds to one point (i.e. concentration vector). Each column correspond to the "mutated" enzyme.
$sel_cont :Same as $sel_disc, but for continuous selection coefficient. Same properties.