sE.progress {renz}

Progress Curve for Enzyme-Catalyzed Reaction

Description

Simulates the evolution of the substrate concentration along time.

Usage

sE.progress(So, time, Km, Vm, unit_S = 'mM', unit_t = 'min',
                   I = 0, Kic = Inf, Kiu = Inf, replicates = 3,
                   error = 'a', sd = 0.005, plot = TRUE)

Arguments

So

initial substrate concentration.

time

reaction timespan.

Km

Michaelis constant.

Vm

maximal velocity.

unit_S

concentration unit.

unit_t

time unit.

I

inhibitor concentration.

Kic

competitive inhibition constant.

Kiu

uncompetitive inhibition constant.

replicates

number of replicates for the dependent variable

error

it should be one among c('absolute', 'relative').

sd

standard deviation of the error.

plot

logical. If TRUE, the progress curve is plotted.

Details

When sd is different to 0, then an absolute error normally distributed is added to the variable St.

Value

Returns a dataframe where the two first columns are time and St (without error). The two last columns are the mean and sd of the variable St.

See Also

fE.progress()

Examples

sE.progress(So = 10, time = 5, Km = 4, Vm = 50, plot = FALSE)