User:James Chappell /R RK4 Modeling: Difference between revisions

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[[Image:Jec con exp equation.gif]]


library(odesolve)
library(odesolve)

Revision as of 08:56, 8 July 2009

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James Chappell

Imperial College London Synthetic Biology Lab


RK4

The RK4 tool is a tool that can be used to model ordinary differential equations (ODE). Like other ODE solvers you can output the results of a simulation into graph or tables.

Example 1 : Simple Constitutive Expression


library(odesolve)

#recalls the rk4 allgorithm - need to have instal packages to be able to recall and use this function

rm(list=objects())

#Function removes any previous objects from previous simulations using this or other functions, means always need to define any objects for each simulation

(constitutiveexpression <- function(t, x, parms) {

#Define the name of the model, in this case "constitutiveexpression"

mRNA <- x[1]

protein <- x[2]

#Name the response variables – these are the outputs of our model

with(as.list(parms),{

dmRNA <- k1 - d1*mRNA

dprotein <- k2*mRNA - d2*protein

res<-c(dmRNA, dprotein)

list(res)

})}

#Combine these vectors into a list called res

times <-seq(0, 1000, length=1001)

parms <-c(k1=0.69 , k2=f ,d1=0.23 ,d2=0.012)

#Generate a time series over which to solve the equations (1000 in steps of 1)

#Set the parameter values in parms

y <- xstart <-c (mRNA=1, protein=1)

#Set the starting value for response variables

output <- as.data.frame(rk4(xstart, times, constitutiveexpression, parms))

plot(output$time, output$protein, ylim=c(0,2000), ylab="protein (molecules)",xlab="time (min)",type="n") }