A QSAR study on a series of sulfonamides incorporating 1,3,5-triazine derivatives was performed to explore the physicochemical parameters responsible for their inhibitory activity of carbonic anhydrase I (CA-I) inhibitors. Physicochemical parameters were calculated using WIN CAChe 6.1. Stepwise multiple linear regression analysis was carried out to derive QSAR models, which were further evaluated for statistical significance and predictive power by internal and external validation. The best QSAR model was selected, having a correlation coefficient R = 0.932, a standard error of estimation SEE = 0.224, and a cross-validated squared correlation coefficient Q 2 = 0.825. The predictive ability of the selected model was also confirmed by leaveone-out cross-validation. The QSAR model indicates that the descriptors (polarizability, DVY, 0v) play an important role in CA-I inhibition. The results of the present study may be useful in the design of more potent sulfonamide substituted 1,3,5-triazine derivatives as CA-I inhibitors.