In this study we investigated the relationship between the calcium channel
blockers (CCBs), amlodipine, felodipine, isradipine, nicardipine, nifedipine,
nimodipine, nisoldipine, verapamil and diltiazem, and their calculated
molecular descriptors: polar surface area (PSA), molecular weight (Mw),
volume value (Vol), aqueous solubility data (logS), lipophilicity (logP),
acidity (pKa values) and plasma protein binding (PPB) data, obtained from
relevant literature. The relationships between the computed molecular
properties of selected CCBs and their PPB data were investigated by simple
linear regression analysis that revealed very low correlations (R2<0.35).
When multiple linear regression (MLR) analysis was applied to investigate
reliable correlations between the CCBs? calculated molecular descriptors and
PPB data, the best correlations were found for the relationships between
CCBs, and PPB data and lipophilicity, and with application of the molecular
descriptor (Mw, Vol, or pKa) data as additional independent variables
(R2=0.623; R2=0.741; R2=0.657, respectively), with an acceptable probability
value (P<0.05), confirming that lipophilicity, together with other molecular
properties, are essential for the drugs? PPB. We conclude that this could be
considered as an additional in vitro approach for modeling CCBs.