bibi

Discriminates between sequential and ping-pong mechanisms and estimates the kinetic parameters.

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.

Juan Aledo

renz

R-Enzymology

bibi function

<dl><dt>data</dt>
<dd>either a dataframe or the path to a text file containing the data (see details).</dd>
<dt>unit_a</dt>
<dd>concentration unit for substrate A.</dd>
<dt>unit_b</dt>
<dd>concentration unit for substrate B.</dd>
<dt>unit_v</dt>
<dd>velocity unit.</dd>
<dt>vice_versa</dt>
<dd>logical. When FALSE the variable substrate is A. If TRUE, then the variable substrate is B.</dd></dl>

Arguments

Kinetic Mechanisms and Parameters for Bi-Bi Reactions — bibi

<dl>

<dt>data</dt>
<dd>either a dataframe or the path to a text file containing the data (see details).</dd>


<dt>unit_a</dt>
<dd>concentration unit for substrate A.</dd>


<dt>unit_b</dt>
<dd>concentration unit for substrate B.</dd>


<dt>unit_v</dt>
<dd>velocity unit.</dd>


<dt>vice_versa</dt>
<dd>logical. When FALSE the variable substrate is A. If TRUE, then the variable substrate is B.</dd>

</dl>

bibi: Kinetic Mechanisms and Parameters for Bi-Bi Reactions

Description

Usage

Value

Arguments

Details

Examples