Qsar study of some substituted 4-quinolinyl and 9-acridinyl hydrazones as antimalarial agents.
Nitendra K. Sahu, Mukesh Chandra Sharma, Vishnukanth Mourya, Kohli Dv · PubMed · 2013
The quantitative structure-activity relationship (QSAR) analysis of some synthesized substituted 4-quinolinyl and 9-acridinyl hydrazone derivatives were performed to find out the structural requirements of their antimalarial activities. Various 2D descriptors were calculated and used in the present analysis. The 2D-QSAR studies were performed using three statistical methods: the multiple linear regressions, giving square of correlation coefficient (r(2)) = 0.8456, cross validated squared correlation coefficient (q(2)) = 0.7814 and predictable ability (pred_r(2)) = 0.7443; the partial least squares regression, with r(2) = 0.8402, q(2) = 0.7879 and pred_r(2) = 0.7680; and principle component regression, giving r(2) = 0.8392, q(2) = 0.7979 and pred_r(2) = 0.6440. Best equation was selected on the basis of high r(2), q(2) and pred_r(2). The QSAR model indicated that the T_N_O_3, IdAverage, chiV6chain, Most-vePotential and T_C_N_6 played an important role in determining antimalarial activities. The results of the present study may be useful on the designing of more potent analogues as antimalarial agents.