QSAR study has been performed on series quinoxaline derivatives for their antitubercular activity against Mycobacterium tuberculosis H37Rv. Ten QSAR models have been developed between activity and molecular descriptors and were obtained as multiple linear regression (MLR) equations. The statistical measures such as r, r2, q2, chance, Spress, SDEP, FIT and F values obtained for training set were in acceptable range and hence the relationship was used for test set. The predictive ability for the model equation 1 is satisfactory (q2 = 0.7086) and revealed positive contribution of Henry’s law constant (HLC) and negative contribution of both bend energy (Eb) and Dipolemoment (D4). The best optimized model is BA = [-0.77707(± 0.116356)] +HLC [0.0207407(± 0.0116089)] + Eb [-0.00432891(± 0.00110419)] +D4 [-0.0157226(± 0.0126022)].
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