2013
DOI: 10.1007/s00044-013-0771-5
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QSAR studies on diclofenac analogues as potent cyclooxygenase inhibitors using CoMFA and CoMSIA

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Cited by 8 publications
(3 citation statements)
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“…For the 3D-QSAR study, a brief comparative molecular field analysis (CoMFA) was performed using the SYBYL-X 2.0 program to investigate the relationship of structure and activity. , 28 compounds were selected as the training set and the other 7 compounds were selected as the test set. The most active compound, II-13 , was selected as the template for superposition, and the remaining molecules were superimposed on the common skeleton of compound II-13 using the Align Database program.…”
Section: Methodsmentioning
confidence: 99%
“…For the 3D-QSAR study, a brief comparative molecular field analysis (CoMFA) was performed using the SYBYL-X 2.0 program to investigate the relationship of structure and activity. , 28 compounds were selected as the training set and the other 7 compounds were selected as the test set. The most active compound, II-13 , was selected as the template for superposition, and the remaining molecules were superimposed on the common skeleton of compound II-13 using the Align Database program.…”
Section: Methodsmentioning
confidence: 99%
“…The activity range of the inhibitors was 0.029–5.571 μM. The structures of these compounds were built and optimized by SYBYL 6.9 to generate 3D structures with appropriate conformation (SYBYL, 2006; Arvind et al, 2014). Simulations were carried out by employing Tripos force field with energy termination of 0.005 kcal/mol, and a maximum of 1,000 iterations.…”
Section: Methodsmentioning
confidence: 99%
“…The optimum number of components (ONC) was calculated and the cross-validated coefficient ( Q 2 ) was obtained to evaluate the model. The model was followed by the non-cross-validation analysis and the coefficient of determination ( R 2 ), the standard error of estimate (SEE), and the F value were calculated based on the ONC originated from LOO (Arvind et al, 2014). The predicted correlation coefficient for the test set (Rpred2) was used to examine the predictive power of the model.…”
Section: Methodsmentioning
confidence: 99%