2019
DOI: 10.1007/s10822-019-00221-z
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Insights into the EGFR SAR of N-phenylquinazolin-4-amine-derivatives using quantum mechanical pairwise-interaction energies

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Cited by 6 publications
(5 citation statements)
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“…In this 3D-QSAR study, the partial least squares (PLS) method was used to analyze the CoMFA and CoMSIA models, pIC 50 as the dependent variable, CoMFA and CoMSIA as the independent variables, to analyze the linear relationship between the structure of the compound and the biological activity values. 29 The cross-validation analysis was performed using the leave-one-out (LOO) method to obtain the cross-validation correlation coefficient ( q 2 ) and the best principal components ( N ). 30 The cross-validation coefficient q 2 can be calculated by the following formula: 31 where Y exp denotes the experimental value of the compound, Y pred denotes the predicted value of the compound, and Y mean denotes the average of the actual pIC 50 values for each compound.…”
Section: Methodsmentioning
confidence: 99%
“…In this 3D-QSAR study, the partial least squares (PLS) method was used to analyze the CoMFA and CoMSIA models, pIC 50 as the dependent variable, CoMFA and CoMSIA as the independent variables, to analyze the linear relationship between the structure of the compound and the biological activity values. 29 The cross-validation analysis was performed using the leave-one-out (LOO) method to obtain the cross-validation correlation coefficient ( q 2 ) and the best principal components ( N ). 30 The cross-validation coefficient q 2 can be calculated by the following formula: 31 where Y exp denotes the experimental value of the compound, Y pred denotes the predicted value of the compound, and Y mean denotes the average of the actual pIC 50 values for each compound.…”
Section: Methodsmentioning
confidence: 99%
“…The size of a grid box was 40 × 40 × 40 Å with the dimensions of 0.375 Å grid spacing. The GOLD docking protocol [ 86 ], as previously described, was carried out by using the empirical GoldScore [ 57 ] and ChemPLP [ 59 ] scoring fitness functions. These two scores of the best-docked pose were examined and compared with the binding energy computed by using AutoDock.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, it seeks latent variabels that have high variance and high correlation with the dependent variable by simultaneously projecting the descriptors into latent component to correlate with bioactivity values. PLS models have been commonly used to predict the ADMET properties 27 and in vitro potency of protein-ligand binding affinities 28 .…”
Section: Methodsmentioning
confidence: 99%