1993
DOI: 10.1021/jm00077a003
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Three-dimensional quantitative structure-activity relationships of 5-HT receptor binding data for tetrahydropyridinylindole derivatives: a comparison of the Hansch and CoMFA methods

Abstract: A series of new derivatives of 3-(1,2,5,6-tetrahydropyridin-4-yl)indole (4-THPI) has been synthesized, and their dissociation constants at the 5-HT1A and 5-HT2 serotonin (5-HT) receptor subtypes have been determined. The new data were combined with similar binding data on a related set of THPI analogs reported previously (Taylor et al. Mol. Pharmacol. 1988, 34, 42-53) and used to develop 3-dimensional quantitative structure-activity relationships (3-D QSARs) for these compounds at the 5-HT1A and 5-HT2 receptor… Show more

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Cited by 73 publications
(55 citation statements)
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“…The q 2 values can be considered as a measure of the predictive power of a regression equation; whereas r 2 can always be increased artificially by adding more parameters (descriptors), q 2 decreases if a model is over-parameterized [47] and is therefore a more meaningful summary statistic for QSAR models. Many authors consider higher q 2 >0.5 as an indicator that the model is highly predictive [48,49].…”
Section: C) Group Frontier Electron Density (F G )mentioning
confidence: 99%
“…The q 2 values can be considered as a measure of the predictive power of a regression equation; whereas r 2 can always be increased artificially by adding more parameters (descriptors), q 2 decreases if a model is over-parameterized [47] and is therefore a more meaningful summary statistic for QSAR models. Many authors consider higher q 2 >0.5 as an indicator that the model is highly predictive [48,49].…”
Section: C) Group Frontier Electron Density (F G )mentioning
confidence: 99%
“…The exact nature of the SecA form involved in protein translocation still remains unknown. Some studies concluded that SecA functions as a dimer[36][37][38][39] whereas others propose that monomeric SecA is the key component in protein translocation 41,42. …”
mentioning
confidence: 99%
“…The outcome from the cross-validation procedure is cross-validated q 2 , which is used as a criterion of both robustness and predictive ability of the model. In general, q 2 > 0.5 is considered as an indicator or even as the ultimate proof that the model is highly predictive [49]. The models of eqs.…”
Section: Qsar Analysis and Model Validationmentioning
confidence: 99%