A set of ten substituted pyrazole derivative with anti-inflammatory activity was subjected to 2D-QSAR studies. Quantitative structure activity relationship (QSAR) analysis was performed on a series of pyrazole-based cyclooxygenase derived prostaglandin synthesis inhibitors for their anti-inflammatory activity by using VLife MDS 4.0software. QSAR models were generated based on various statistical methods like Multiple Regression, Principal Component Regression, and Partial Least Squares Regression etc. QSAR studies revealed that sulphur count, kappa3, chiV3, Oxygen count are primarily responsible for anti-inflammatory activity. The best QSAR model (r2 = 0.99, Fisher test value F=387.79, r2 se = 0.00) has acceptable statistical quality and predictive potential as indicated by the value of cross validated squared correlation coefficient (q2= 0.98). This model was obtained from Multiple Regression method with good predictive ability. The results obtained from QSAR studies could be used in designing better anti-inflammatory agents among the congeners in future.
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