186 related articles for article (PubMed ID: 14567634)
1. QSAR analysis of the inhibition of recombinant CYP 3A4 activity by structurally diverse compounds using a genetic algorithm-combined partial least squares method.
Wanchana S; Yamashita F; Hashida M
Pharm Res; 2003 Sep; 20(9):1401-8. PubMed ID: 14567634
[TBL] [Abstract][Full Text] [Related]
2. Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques.
Roy K; Pratim Roy P
Eur J Med Chem; 2009 Jul; 44(7):2913-22. PubMed ID: 19128860
[TBL] [Abstract][Full Text] [Related]
3. Quantitative structure/activity relationship modelling of pharmacokinetic properties using genetic algorithm-combined partial least squares method.
Yamashita F; Fujiwara S; Wanchana S; Hashida M
J Drug Target; 2006; 14(7):496-504. PubMed ID: 17062396
[TBL] [Abstract][Full Text] [Related]
4. Quantitative structure/property relationship analysis on aqueous solubility using genetic algorithm-combined partial least squares method.
Wanchana S; Yamashita F; Hashida M
Pharmazie; 2002 Feb; 57(2):127-9. PubMed ID: 11878188
[TBL] [Abstract][Full Text] [Related]
5. 2D QSAR modeling and preliminary database searching for dopamine transporter inhibitors using genetic algorithm variable selection of Molconn Z descriptors.
Hoffman BT; Kopajtic T; Katz JL; Newman AH
J Med Chem; 2000 Nov; 43(22):4151-9. PubMed ID: 11063611
[TBL] [Abstract][Full Text] [Related]
6. Three- and four-dimensional quantitative structure activity relationship analyses of cytochrome P-450 3A4 inhibitors.
Ekins S; Bravi G; Binkley S; Gillespie JS; Ring BJ; Wikel JH; Wrighton SA
J Pharmacol Exp Ther; 1999 Jul; 290(1):429-38. PubMed ID: 10381809
[TBL] [Abstract][Full Text] [Related]
7. In silico prediction of cytochrome P450 2D6 and 3A4 inhibition using Gaussian kernel weighted k-nearest neighbor and extended connectivity fingerprints, including structural fragment analysis of inhibitors versus noninhibitors.
Jensen BF; Vind C; Padkjaer SB; Brockhoff PB; Refsgaard HH
J Med Chem; 2007 Feb; 50(3):501-11. PubMed ID: 17266202
[TBL] [Abstract][Full Text] [Related]
8. Three- and four-dimensional-quantitative structure activity relationship (3D/4D-QSAR) analyses of CYP2C9 inhibitors.
Ekins S; Bravi G; Binkley S; Gillespie JS; Ring BJ; Wikel JH; Wrighton SA
Drug Metab Dispos; 2000 Aug; 28(8):994-1002. PubMed ID: 10901712
[TBL] [Abstract][Full Text] [Related]
9. Multivariate modeling of cytochrome P450 3A4 inhibition.
Kriegl JM; Eriksson L; Arnhold T; Beck B; Johansson E; Fox T
Eur J Pharm Sci; 2005 Apr; 24(5):451-63. PubMed ID: 15784335
[TBL] [Abstract][Full Text] [Related]
10. Line-walking method for predicting the inhibition of P450 drug metabolism.
Hudelson MG; Jones JP
J Med Chem; 2006 Jul; 49(14):4367-73. PubMed ID: 16821796
[TBL] [Abstract][Full Text] [Related]
11. Prediction of cytochrome P450 isoform responsible for metabolizing a drug molecule.
Mishra NK; Agarwal S; Raghava GP
BMC Pharmacol; 2010 Jul; 10():8. PubMed ID: 20637097
[TBL] [Abstract][Full Text] [Related]
12. Quantitative structure/property relationship analysis of Caco-2 permeability using a genetic algorithm-based partial least squares method.
Yamashita F; Wanchana S; Hashida M
J Pharm Sci; 2002 Oct; 91(10):2230-9. PubMed ID: 12226850
[TBL] [Abstract][Full Text] [Related]
13. [In-silico prediction of pharmacokinetic properties].
Hashida M
Yakugaku Zasshi; 2005 Nov; 125(11):853-61. PubMed ID: 16272806
[TBL] [Abstract][Full Text] [Related]
14. Exploring QSAR and QAAR for inhibitors of cytochrome P450 2A6 and 2A5 enzymes using GFA and G/PLS techniques.
Roy K; Roy PP
Eur J Med Chem; 2009 May; 44(5):1941-51. PubMed ID: 19110342
[TBL] [Abstract][Full Text] [Related]
15. Competitive CYP2C9 inhibitors: enzyme inhibition studies, protein homology modeling, and three-dimensional quantitative structure-activity relationship analysis.
Afzelius L; Zamora I; Ridderström M; Andersson TB; Karlén A; Masimirembwa CM
Mol Pharmacol; 2001 Apr; 59(4):909-19. PubMed ID: 11259637
[TBL] [Abstract][Full Text] [Related]
16. Two- and three-dimensional QSAR of carrier-mediated transport of beta-lactam antibiotics in Caco-2 cells.
Wanchana S; Yamashita F; Hara H; Fujiwara S; Akamatsu M; Hashida M
J Pharm Sci; 2004 Dec; 93(12):3057-65. PubMed ID: 15515011
[TBL] [Abstract][Full Text] [Related]
17. Quantitative structure-activity relationship prediction of blood-to-brain partitioning behavior using support vector machine.
Golmohammadi H; Dashtbozorgi Z; Acree WE
Eur J Pharm Sci; 2012 Sep; 47(2):421-9. PubMed ID: 22771548
[TBL] [Abstract][Full Text] [Related]
18. Generation and validation of rapid computational filters for cyp2d6 and cyp3a4.
Ekins S; Berbaum J; Harrison RK
Drug Metab Dispos; 2003 Sep; 31(9):1077-80. PubMed ID: 12920160
[TBL] [Abstract][Full Text] [Related]
19. Comparative QSAR analyses of competitive CYP2C9 inhibitors using three-dimensional molecular descriptors.
Lather V; Fernandes MX
Chem Biol Drug Des; 2011 Jul; 78(1):112-23. PubMed ID: 21477091
[TBL] [Abstract][Full Text] [Related]
20. Application of GA-MLR for QSAR Modeling of the Arylthioindole Class of Tubulin Polymerization Inhibitors as Anticancer Agents.
Ahmadi S; Habibpour E
Anticancer Agents Med Chem; 2017; 17(4):552-565. PubMed ID: 27528182
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]