Description Usage Arguments Details Value See Also Examples

View source: R/apparent.activities.Aq.R

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 |

`A_fun` |
Numeric vector of activities |

`B_fun` |
Numeric vector of global co-regulation coefficients. Same length as |

`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.

1 2 3 4 5 6 7 8 9 10 11 12 13 | ```
#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))
``` |

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