TABLE 3

Interpretation of the experimental functional data included in Kniazeff et al. (2004) under the mGlu model depicted in eq. 2

Equilibrium constants are expressed in logarithmic form. An in-house evolutionary algorithm was used for parameter optimization (see Materials and Methods). One hundred independent runs were performed for both WT and mutated receptors; mean and S.D. are shown; the best (closest to the mean parameters) run is also shown. The parameter values for the latter run were used for graphic representation in Figure 5. The Y4 equilibrium constant (see Fig. 1) has not been included explicitly in the table because is automatically determined by the values of Y1, Y2, and Y3 (see main text).


Mechanistic Parameters

X1

X2

K1

K2

Y1

Y2

Y3

Y5

Y6

L1

L2

L3
WT
    Mean ± S.D. -5.07 ± 1.90 -4.30 ± 1.50 -6.02 ± 0.08 -4.07 ± 0.82 -4.56 ± 1.50 0.84 ± 0.76 1.52 ± 0.97 -0.01 ± 0.69 2.79 ± 0.86 -0.37 ± 0.02 -0.21 ± 0.57 1.81 ± 0.35
    Best run -6.23 -3.70 -6.10 -3.46 -5.03 0.63 1.15 0.00 3.45 -0.37 0.02 1.55
Single-Mutated VFT
    Mean ± S.D. -6.85* ± 1.24 -5.95* ± 1.56 -5.90 ± 0.36 -2.41* ± 0.54 -4.63 ± 1.49 0.42* ± 0.51 1.30 ± 1.16 0.03 ± 0.46 1.28* ± 0.49 -0.47* ± 0.00 -0.17 ± 0.20 0.71* ± 0.09
    Best run
-6.92
-5.92
-6.16
-2.27
-3.95
0.12
1.60
0.31
0.88
-0.47
-0.09
0.72
  • Statistical comparison between WT and mutated receptor samples for each of the parameters was done by Student's t test including Sidàk correction for multiple testing, *p < 0.05.