kinsim: Kinetic Simulation of Protein-Ligand Sensorgram Data

Description Usage Arguments Value See Also Examples

Description

kinsim generates a sensorgram data according to the input parameters, kon, koff, rmax, concs, t2, time and the chosen model.

Usage

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kinsim(par, model = "simple1to1", noise = 0.01)

Arguments

par

A list of parametes, including kon, koff, rmax, concs, t2, time

model

The binding model, "simple1to1" or dimerization model : "dimer"

noise

The noise level added to the simulated data

Value

kinsim returns an data frame. The first column of the data frame is "Time", which is the same the input variable time, and it is followed by the calculated responses corresponding to each concentration of the concs variable

See Also

kinfit

Examples

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# Simulation  ----------------------------------------------------------

# Prepare the parameters for simulation
par = list(kon    = 2e2,
          koff   = 1e-2,
          rmax   = 1,
          concs  = 1e-5 * (2^(0:5)),
          time   = seq(0, 300, length.out = 1501),
          t2     = 150)

# Simulating
model = "simple1to1"
xySimulated <- kinsim(par = par, model = model, noise = 0.01)

huangrenhuai/xyFit documentation built on May 17, 2019, 9:10 p.m.