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QSAR studies on a series of biphenyl carboxamide analogues for analgesic activity

Journal of Analytical & Pharmaceutical Research
Anju Chouhan,1 Bashirulla Shaik,2 Izhar Ahmad,2 Vijay K Agrawal1,3

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Anti-inflammatory medicines are frequently used to treat inflammation-related conditions such as rheumatoid arthritis and osteoarthritis as well as pain, fever, and other symptoms. In the present case quantitative structure activity relationship studies have been performed on a series of biphenyl carboxamide analogs acting as anti-inflammatory drugs. The biological activity in terms of logBA has been modeled for the twenty-five biphenyl carboxamide derivatives. Multiple linear regression analysis revealed a statistically significant model comprising of two variables to be the best. The R2 value for the training set model comes out to be 0.800. The predicted R2 comes out to be 0.7217 suggesting that the two variable model is good. The model will help to design some novel biphenyl carboxamides with potent analgesic activity.


biphenyl carboxamide derivatives, analgesic activity, QSAR studies, topological descriptors