dot {dMod}

Symbolic time derivative of equation vector given an equation list

Description

The time evolution of the internal states is defined in the equation list. Time derivatives of observation functions are expressed in terms of the rates of the internal states.

Usage

dot(observable, eqnlist)

Arguments

observable

named character vector or object of type eqnvec

eqnlist

equation list

Details

Observables are translated into an ODE

Value

An object of class eqnvec

Examples

  # Write your example here. You can also add more Start..End blocks if needed.
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    ## Generate another equation list
    eq <- eqnlist()
    eq <- addReaction(eq, "A", "pA", "act_A * A * stimulus", "Phosphorylation of A")
    eq <- addReaction(eq, "pA", "A", "deact_A * pA", "Deposphorylation of pA")
    eq <- addReaction(eq, "2*pA", "pA_pA", "form_complex_pA * pA^2", "Complex formation of pA")
    eq <- addReaction(eq, "B", "pB", "act_B * B * pA_pA", "Phosphorylation of B")
    eq <- addReaction(eq, "pB", "B", "deact_B * pB", "Deposphorylation of pB")
    
    ## Extract data.frame of reactions
    reactions <- getReactions(eq)
     print(reactions)
    
    ## Get conserved quantities
    cq <- conservedQuantities(eq$smatrix)
     print(cq)
    
    ## Get fluxes
    fluxes <- getFluxes(eq)
     print(fluxes)
    
    ## Subsetting of equation list
    subeq1 <- subset(eq, "pB" %in% Product)
     print(subeq1)
    subeq2 <- subset(eq, grepl("not_available", Description))
     print(subeq2)
    
    ## Time derivatives of observables
    observables <- eqnvec(pA_obs = "s1*pA", tA_obs = "s2*(A + pA)")
    dobs <- dot(observables, eq)
    
    ## Combined equation vector for ODE and observables
    f <- c(as.eqnvec(eq), dobs)
     print(f)