Table 5.

Regression equations for the best models.

Model (Eq.) (n = 21)	Equation
Mono-parametric (Eq1)	pICT50 = – 1.2168(±0.4055) + 0.1993(±0.0342) × GF
Bi-parametric (Eq2)	pICT50 = – 1.888(±0.4007) + 0.2128(±0.0355) × GF – 0.0230(±0.0187) × Hyd
Tri-parametric (Eq3)	pICT50 = – 0.9477(±0.4447) + 0.0334(±0.0224) × A + 0.2949(±0.1235) × GF – 0.2295(±0.1468) × SF
Tetra-parametric (Eq4)	pICT50 = – 0.8324(±0.4312) + 0.0415(±0.0220) × A + 0.2881(±0.1182) × GF – 0.2364(±0.1404) × SF – 0.0293(±0.0182) × Hyd