renz - R-Enzymology
Contains utilities for the analysis of Michaelian kinetic
data. Beside the classical linearization methods
(Lineweaver-Burk, Eadie-Hofstee, Hanes-Woolf and
Eisenthal-Cornish-Bowden), features include the ability to
carry out weighted regression analysis that, in most cases,
substantially improves the estimation of kinetic parameters
(Aledo (2021) <doi:10.1002/bmb.21522>). To avoid data
transformation and the potential biases introduced by them, the
package also offers functions to directly fitting data to the
Michaelis-Menten equation, either using ([S], v) or (time, [S])
data. Utilities to simulate substrate progress-curves (making
use of the Lambert W function) are also provided. The package
is accompanied of vignettes that aim to orientate the user in
the choice of the most suitable method to estimate the kinetic
parameter of an Michaelian enzyme.
