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. 2025 Feb 3;64(3):373–385. doi: 10.1007/s40262-025-01473-9

Table 2.

SLA for the prediction of FE using the PBPK modeling approach

Compound Solubility AUC ratio Cmax ratio Positive FE in vivo Positive FE predicted by SLA CYP3A4 or UGT substrate? CL (l/h)
FaSSIF (mg/ml) Optimized (mg/ml) Maximum (mg/ml) Observed Predicted Observed Predicted
Carbamazepine 0.3 0.85 1.8 1.12 1.08 1.35 1.21 Yes Yes CYP3A4, UGT 2.7 [50]
Efavirenz 0.07 0.068 0.22 1.28 1.44 1.79 1.87 Yes Yes CYP3A4 9.4 (po) [51]
Digoxin 0.001 0.055 0.055 0.98 1 0.8 1 No No No 5.28 [51]
Mefenamic acid 0.015 0.5 0.5 0.97 1 1.05 1 No No No 21.23 (po) [51]
Felodipine 0.01 0.012 * 1.53 * 1.04 * No * CYP3A4 90 [47]
Clopidogrel 0.017 0.06 * 9.2 * 6.5 * Yes * CYP3A4 84 [52]

AUC area under the curve, Cmax maximum blood/plasma concentration, CL total body clearance value, CYP3A4 Cytochrome P450 3A4, FaSSIF fasted state simulated intestinal fluid solubility, Maximum solubility PBPK model hypothetical solubility that exceeds the optimized solubility that helps to identify SLA, Optimized solubility PBPK model hypothetical solubility beyond which there were no further changes between predicted and observed profile, PBPK physiologically based pharmacokinetic model, SLA solubility-limited absorption, UGT uridine diphosphate glucuronosyltransferase

*The value could not be determined