Regression analysis was carried out in order to predict the effective concentration (EC
50) of 34 chemicals for inhibition of the growth of Tetrahymena pyriformis in 24 h. We examined 4 items (n-octanol/water partition coefficient (P), molecular weight (M
r), organic and inorganic characters, and molecular connectivity indices) and their derivatives. The best one-parameter equation was that involing M
r [log EC
50=-1.964 (M
r/100)+5.380 (r=-0.821, s=0.603, n=34)], and the second best involved the 3rd order valence molecular connectivity index of path type,
3χ
vp[log EC
50=1.108
3χ
vp+3.944(r=-0.810, s=0.619, n=34)], while the n-octanol/water partition coefficient was least effective for the prediction of EC
50 values [log EC
50=-0.735 log P+4.233 (r=-0.780, s=0.660, n=34)]. The best combination for a two-parameter equation was
3χ
vp and M
r [log EC
50=-1.105 (M
r/100)-0.638
3χ
vp+4.990 (R=0.866, s=0.516, n=34)]. Regression analysis with the same 4 items on median lethal concentration (LC
50) of 123 chemicals for Oryzias latipes (red killifish) was refered and the limitations in the application of the parameters and the equations botained are discussed.
View full abstract