Purpose: In this paper, the authors attempt to construct a mathematica
l model to correlate the biological activities of 63 polyamine transpo
rt inhibitors in L1210 cells with their physicochemical parameters. Me
thod: The inhibitory constants (K-i) were obtained from the published
work of Bergeron ct al. Non-weighted least square method was used in d
eriving the regression equations with a BMDP program. An AMI subroutin
e of the HyperChem program was used to optimize the geometry and calcu
late the molecular dipole moments and the distance between two termina
l amino groups. A CQSAR program was used to calculate Clog P (oct./w.)
. Results: A good correlation (r(2)=0.81) was obtained by using a five
-parameter equation including the distance between two terminal amino
groups (d), the number of cationic charge (Charge), molecular weight (
MW), dipole moment (mu), and hydrogen bond forming ability (Hb). Concl
usion: This model accounts for 81% of the variance in the data and can
be used to estimate transport-inhibitory activity of many other polya
mine analogues. It gives some quantitative information about the relat
ionship between the polyamine analogues function as transport inhibito
rs and their molecular structures.