2016
DOI: 10.5935/0100-4042.20160078
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2D-QSAR ANALYSIS OF DERIVATIVES OF QUINOXALINE 1,4-DI-N-OXIDES WITH ACTIVITY AGAINST CHAGAS' DISEASE

Abstract: publicado na web em 06/05/2016 2D-QSAR ANALYSIS OF DERIVATIVES OF QUINOXALINE 1,4-DI-N-OXIDES WITH ACTIVITY AGAINST CHAGAS' DISEASE. In the present work was performed a quantitative structure-activity relationship (QSAR) for a set of derivatives of 1,4-quinoxaline N-oxides with antichagasic activity based on reactivity descriptors from the frame conceptual DFT. QSAR models showed a good statistical quality and capacity internal prediction with R 2 > 0.6 and Q 2 > 0.5 respectively. QSAR model suggest that antic… Show more

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Cited by 4 publications
(2 citation statements)
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“…Complete LOO cross-validation statistics for model 02 are available in supplementary Table S3. Good internal prediction power was achieved because the correlation coefficient of cross-validation LOO (Q 2 ) was greater than 0.5 [47]. Cross-validated pIC 50 predicted values are shown in Table 8.…”
Section: Journal Of Chemistrymentioning
confidence: 99%
See 1 more Smart Citation
“…Complete LOO cross-validation statistics for model 02 are available in supplementary Table S3. Good internal prediction power was achieved because the correlation coefficient of cross-validation LOO (Q 2 ) was greater than 0.5 [47]. Cross-validated pIC 50 predicted values are shown in Table 8.…”
Section: Journal Of Chemistrymentioning
confidence: 99%
“…e descriptors of Table 2 were selected using the successive step mode [44], and the following parameters were taken into account: use of 1 descriptor for every 5 compounds [45] and selection of descriptors of different nature to avoid collinearity between the variables [46]. Subsequently, multiple linear regression (MLR) was used to study the linear relationship between pIC 50 and the remaining descriptors, but only those models with R 2 higher than 0.568 were considered valid [47]. e linear relationship between pIC 50 and descriptors was determined using the standard equation:…”
Section: Descriptor Selection and Model Generationmentioning
confidence: 99%