
LMS

LYS/CYT

NL

AchE


n

49

45

158

72


Fit of CA
    
R^2

0.73

0.64

0.74

0.77

Pvalue

5.59E012

2.96E009

2.48E044

1.01E020

CA vs A
    
R^2

0.79

0.88

0.89

0.85

Chitest

1.27E003

2.30E025

2.64E030

4.05E008

A vs DL
    
R^2

0.78

0.88

0.89

0.85

Chitest

0.30

0.89

0.94

0.23

Fit of IA
    
R^2

0.75

0.78

0.74

0.64

Pvalue

8.52E013

5.25E015

3.06E043

4.05E014

IA vs A
    
R^2

0.78

0.85

0.79

0.85

Chitest

1.10E002

9.63E011

1.17E009

4.81E015

A vs DL
    
R^2

0.78

0.85

0.74

0.84

Chitest

0.63

1

1

1

 The Mixtox software [7] was utilized to evaluate antagonistic interactions in binary mixtures fitting experimental data to both the CA and IA reference models and their deviation models describing antagonistic interactions, either through the whole dose range (A) or varying across the dose levels (DL). R^2 represents the amount of the total data variance explained by each tested model. Pvalue represents the significance of data regression against the "null hypothesis" of no relationship between increasing doses and effects for the whole dataset. Chitest represents the pvalue of the Chisquare distribution test to assess if a significantly better fit is achieved by going to the next level of the nested models (i.e. CA vs. A and A vs. DL). The A models always provided a better description of the data than their respective parent CA or IA models, while there were no significant improvements by using models explaining a dose level dependent antagonism (DL).