Quantitative structure-activity relationship analysis of aryl alkanol piperazine derivatives with antidepressant activities.

ABSTRACT

Quantitative structure-activity relationship analysis for recently synthesized aryl alkanol piperazine derivatives was studied for their antidepressant activities. The statistically significant 2D-QSAR models (r(2)>0.924, r(-CV)(2)>0.870, r(-pred)(2)>0.890) were developed using genetic function approximation (GFA) when the number of descriptors in equation was set to four, indicating the descriptors of Atype_C_6, Dipole-mag, S_sssCH and Jurs-PNSA-3 mainly influence the 5-hydroxytryptamine (5-HT) reuptake inhibition activity while the descriptors of HOMO, PMI-mag, S_sssN and Shadow-XZ may chiefly control the noradrenaline (NA) reuptake inhibition activity. The results of the 2D-QSAR models were further compared with 3D-QSAR models generated by molecular field analysis (MFA), investigating the substitutional requirements for the favorable receptor-drug interaction and providing useful information in the characterization and differentiation of their binding sites. The results derived may be useful in further designing novel antidepressants prior to synthesis.