The QSAR study brings important structural insight to aid the design of novel anti-TB agents. A 2D-quantitative structure activity relationship (QSAR) was employed to find the correlation between the structural properties anti- TB activities of a series of quinoline derivatives was done with the help of Vlife MDS 3.5 Software. This study was performed with 35 compounds (data set) using random and manual data selection methods for the division of the data into training and test set. PLS methodology with stepwise (SW) forward-backward variable selection method was used for building the QSAR models. Statistically QSAR models were developed. Among them most valuable models has squared correlation coefficient (r2), cross validated correlation coefficient (q2) and predictive correlation coefficient (pred_r2) for anti-TB activity was 0.9182, 0.8160 and 0.6422 respectively. The results obtained from QSAR studies could be used in designing better antitubercular agents among the congeners in future.
