Table 7.

Performance of ADAM, Q _gut or Competing Rates models using CL _int derived from human in vivo clearance vs human in vivo F _g estimated from PBPK or indirect approaches. Percentage of low, medium or high F _g drugs that were predicted in different bins. Percentage of drugs that were correctly predicted are shown in bold

ADAM	n = 31		Human in vivo F g from PBPK/indirect approaches
			Low (< 0.33)	Medium (0.33–0.66)	High (> 0.66)
	F g (ADAM, in vivo CL int)	Low	6%	6%	3%
		Medium	3%	3%	6%
		High	6%	19%	45%
	Prediction success =54% RMSE =0.31 AFE = 1.02
Q gut	n = 31		Human in vivo F gfrom PBPK/indirect approaches
			Low (< 0.33)	Medium (0.33–0.66)	High (> 0.66)
	F g (Q gut, in vivo CL int)	Low	13%	13%	16%
		Medium	0%	6%	13%
		High	3%	10%	26%
	Prediction success =45% RMSE =0.42 AFE = 0.39
Competing Rates	n = 31		Human in vivo F g from PBPK/indirect approaches
			Low (< 0.33)	Medium (0.33–0.66)	High (> 0.66)
	F g (Competing Rates, in vivo CL int)	Low	13%	10%	16%
		Medium	0%	3%	6%
		High	3%	16%	32%
	Prediction success =48% RMSE =0.40 AFE = 0.46