TABLE 5

Predicted ISL parameter values for SUCROSE, PRAZOSIN, and PROPRANOLOL

For each of the three methods, the parameter values listed were combined with the PCP-insensitive parameter values. The resulting ISLs were used to generate the expected outflow profiles in Figs. 5, 6, 7.

ISL Parameter Values Method 1: Simple Linear Regression Method 2: FCMA Method 3: ANN
PRAZOSIN PROPRANOLOL SUCROSEa PRAZOSIN PROPRANOLOL PRAZOSIN PROPRANOLOL
ISL2WetLabScaling 5.3 4.1 6.0 3.0 7.0 4.6 2.8
A2BJumpProb 0.35 0.52 0.35 0.37 0.86 0.62 0.75
B2AJumpProb 0.37 0.21b 0.22 0.40 0.21b 0.29 0.21b
B2CJumpProb 0.42c 0.50b 0.49 0.41c 0.50b 0.50c 0.50b
C2BJumpProb 0.56c 0.31 0.50 0.48c 0.22 0.42c 0.32
MetabolizeProb 0.34 0.13b 0.25 0.12b 0.19 0.09b
BindersPerCellMin 6 12 7 6 8 8
BindersPerCellMax 7 14 14 13 15 17
SoluteBindingProb 0.47c 0.39b 0.41c 0.42b 0.43c 0.42b
SoluteBindingCycles 24c 23b 23c 24b 24c 23b
SM values (±1 S.D.) 0.36 0.68 0.50 0.58 0.79 0.97
SM values (±1.5 S.D.) 0.55 0.82 0.77 0.72 0.97 0.98
  • a The predicted outflow profiles for SUCROSE coadministered with PRAZOSIN and PROPRANOLOL, obtained using these FCMA-predicted parameter values, are provided in Supplemental Fig. S1 along with the predicted sucrose outflow profiles (Fig. S1) when SUCROSE was coadministered with PRAZOSINand PROPRANOLOL.

  • b The three predicted values of these five propranolol parameters are within 15% of each other.

  • c The three predicted values of these four prazosin parameters are within 15% of each other.