QSAR of adenosine A3 receptor antagonist 1,2,4-triazolo[4,3-a]quinoxalin-1-one derivatives using chemometric tools

Considering the potential of selective adenosine A3 receptor subtype ligands in the development of prospective therapeutic agents, an attempt has been made to explore physicochemical requirements of 1,2,4-triazolo[4,3-a]quinoxalin-1-one derivatives for A3 receptor binding. In this study, lipophilicity (log P), physicochemical substituent constants (π, MR, σp) of phenyl ring substituents, and Wang–Ford charges of common atoms of the quinoxaline nucleus (calculated from molecular electrostatic potential surface of energy-minimized geometry using AM1 technique) were used as independent variables along with suitable dummy parameters. The best multiple linear regression (MLR) equation obtained from factor analysis (FA-MLR) as the preprocessing step could explain and predict 72.6% and 65.3%, respectively, of the variance of the binding affinity. The same equation also emerged as the best equation in the population of 100 equations obtained from genetic function approximation (GFA-MLR). The results suggested that presence of an electron-withdrawing group at the para position of the phenyl ring would be favorable for the binding affinity. Again, the presence of a nitro group at position R1 increases the binding affinity. When factor scores were used as predictor variables in the principal component regression analysis, the resultant model showed 78.6% explained variance and 63.1% predicted variance. The best equation derived from G/PLS could explain and predict 74.4% and 64.8%, respectively. The results have suggested the importance of Wang–Ford charges of atoms C15 and C19, apart from positive contributions of electron-withdrawing para substituents of the variance of the phenyl ring and nitro group at the R1 position.