fit_Kd_competition

fit_Kd_competition(
    input_df
    model
    RT
    LsT
    Kds
    N=None
    compound_sel=False
    fix_ymin=False
    fix_ymax=False
    ci=True
    verbose=False
)

Function for fitting the comp_3st_specific, comp_3st_total, comp_4st_specific and comp_4st_total models.

Parameters

Name	Type	Description	Default
input_df	DataFrame	Pandas DataFrame containing the input data.	required
model	str	Name of the model. Options: `comp_3st_specific`, `comp_3st_total`, `comp_4st_specific`, `comp_4st_total`	required
RT	float or int	Total concentration of the receptor.	required
LsT	float or int	Total concentration of the labeled ligand.	required
Kds	float or int	Dissociation constant of the labeled ligand.	required
N	float or int	Parameter for nonspecific binding of the unlabeled ligand (needed only for `comp_3st_total` and `comp_4st_total` models).	`None`
compound_sel	list	List of compounds to execute the function on. If set to False, all compounds will be used.	`False`
fix_ymin	float or int	Lower asymptote of the model will be fixed at the provided value. If set to “False”, it will be fitted freely.	`False`
fix_ymax	float or int	Upper asymptote of the model will be fixed at the provided value. If set to “False”, it will be fitted freely.	`False`
ci	bool	Whether to calculate 95% confidence intervals.	`True`
verbose	bool	If set to “True”, more detailed output is printed. Intended mainly for troubleshooting.	`False`

Returns

Name	Type	Description
	DataFrame	Pandas DataFrame containing the fit results.