sE.progress: Progress Curve for Enzyme-Catalyzed Reaction

In renz: R-Enzymology

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)

renz documentation built on Nov. 27, 2023, 5:11 p.m.