Define a Formula for the Michaelis Menten Enzyme Kinetics Model
michaelis_menten_formula.Rd
set-up a Michaelis Menten enzyme kinetics model formula to
define a an ordinary differential equation model that with kcat
, kM
model parameters for use in the michaelis_menten_model.
Usage
michaelis_menten_formula(
series_index_variable = "series_index",
treatment_variable = "time",
treatment_units = "seconds",
ET_variable = "ET",
ET_units = "mg/ml",
ST_variable = "ST",
ST_units = "mg/ml",
response_variable = "P",
response_units = "mg/ml",
predictors = 1,
...
)
Arguments
- series_index_variable
character
variable indexing which measurements are part of a common time series- treatment_variable
character
variable representing time as the treatment- treatment_units
character
the units of the treatment variable- ET_variable
character
variable representing the total enzyme concentration- ET_units
character
variable representing the units of the enzyme concentration- ST_variable
character
variable representing the total substrate concentration- ST_units
character
variable representing the units of the substrate concentration- response_variable
character
variable representing theproduct
- response_units
character
the units of theproduct
- predictors
expression
of predictors forkcat
andkM
parameters- ...
additional arguments passed to
brms::brmsformula()
Value
a bpformula
, which is a subclass of brms::brmsformula and can be
passed to michaelis_menten_model()
.
References
Choi, B., Rempala, G.A. & Kim, J.K. Beyond the Michaelis-Menten equation: Accurate and efficient estimation of enzyme kinetic parameters. Sci Rep 7, 17018 (2017). https://doi.org/10.1038/s41598-017-17072-z
See also
michaelis_menten_model, michaelis_menten_prior, michaelis_menten_init, michaelis_menten_stanvar and brms::brmsformula, which this function wraps.