108 related articles for article (PubMed ID: 20728966)
1. QSAR prediction of D2 receptor antagonistic activity of 6-methoxy benzamides.
Fatemi MH; Dorostkar F
Eur J Med Chem; 2010 Nov; 45(11):4856-62. PubMed ID: 20728966
[TBL] [Abstract][Full Text] [Related]
2. QSAR modeling on dopamine D2 receptor binding affinity of 6-methoxy benzamides.
Samanta S; Debnath B; Gayen S; Ghosh B; Basu A; Srikanth K; Jha T
Farmaco; 2005 Oct; 60(10):818-25. PubMed ID: 16055122
[TBL] [Abstract][Full Text] [Related]
3. A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine.
Fatemi MH; Gharaghani S
Bioorg Med Chem; 2007 Dec; 15(24):7746-54. PubMed ID: 17870538
[TBL] [Abstract][Full Text] [Related]
4. A quantitative structure-activity relationship for some dopamine D2 antagonists of benzamide type.
Norinder U; Högberg T
Acta Pharm Nord; 1992; 4(2):73-8. PubMed ID: 1388772
[TBL] [Abstract][Full Text] [Related]
5. A self-adaptive genetic algorithm-artificial neural network algorithm with leave-one-out cross validation for descriptor selection in QSAR study.
Wu J; Mei J; Wen S; Liao S; Chen J; Shen Y
J Comput Chem; 2010 Jul; 31(10):1956-68. PubMed ID: 20512843
[TBL] [Abstract][Full Text] [Related]
6. Quantitative structure-property relationship modelling of the degradability rate constant of alkenes by OH radicals in atmosphere.
Fatemi MH; Baher E
SAR QSAR Environ Res; 2009; 20(1-2):77-90. PubMed ID: 19343584
[TBL] [Abstract][Full Text] [Related]
7. Linear and non-linear quantitative structure-activity relationship models on indole substitution patterns as inhibitors of HIV-1 attachment.
Nirouei M; Ghasemi G; Abdolmaleki P; Tavakoli A; Shariati S
Indian J Biochem Biophys; 2012 Jun; 49(3):202-10. PubMed ID: 22803336
[TBL] [Abstract][Full Text] [Related]
8. Predictive QSAR modeling of HIV reverse transcriptase inhibitor TIBO derivatives.
Mandal AS; Roy K
Eur J Med Chem; 2009 Apr; 44(4):1509-24. PubMed ID: 18760864
[TBL] [Abstract][Full Text] [Related]
9. QSAR modeling of human serum protein binding with several modeling techniques utilizing structure-information representation.
Votano JR; Parham M; Hall LM; Hall LH; Kier LB; Oloff S; Tropsha A
J Med Chem; 2006 Nov; 49(24):7169-81. PubMed ID: 17125269
[TBL] [Abstract][Full Text] [Related]
10. QSPR modeling of soil sorption coefficients (K(OC)) of pesticides using SPA-ANN and SPA-MLR.
Goudarzi N; Goodarzi M; Araujo MC; Galvão RK
J Agric Food Chem; 2009 Aug; 57(15):7153-8. PubMed ID: 19722589
[TBL] [Abstract][Full Text] [Related]
11. Quantitative structure migration relationship modeling of migration factor for some benzene derivatives in micellar electrokinetic chromatography.
Fatemi MH; Shamseddin H; Malekzadeh H
J Sep Sci; 2009 Jun; 32(11):1934-40. PubMed ID: 19425021
[TBL] [Abstract][Full Text] [Related]
12. Prediction of gas chromatographic retention indices of some amino acids and carboxylic acids from their structural descriptors.
Fatemi MH; Elyasi M
J Sep Sci; 2011 Nov; 34(22):3216-20. PubMed ID: 22012944
[TBL] [Abstract][Full Text] [Related]
13. Robust cross-validation of linear regression QSAR models.
Konovalov DA; Llewellyn LE; Vander Heyden Y; Coomans D
J Chem Inf Model; 2008 Oct; 48(10):2081-94. PubMed ID: 18826208
[TBL] [Abstract][Full Text] [Related]
14. Application of ab initio theory to QSAR study of 1,4-dihydropyridine-based calcium channel blockers using GA-MLR and PC-GA-ANN procedures.
Hemmateenejad B; Safarpour MA; Miri R; Taghavi F
J Comput Chem; 2004 Sep; 25(12):1495-503. PubMed ID: 15224393
[TBL] [Abstract][Full Text] [Related]
15. Prediction of supercritical fluid chromatographic retention factors at different percents of organic modifiers in mobile phase.
Fatemi MH; Malekzadeh H; Shamseddin H
J Sep Sci; 2009 Feb; 32(4):653-9. PubMed ID: 19160374
[TBL] [Abstract][Full Text] [Related]
16. Support vector machine for SAR/QSAR of phenethyl-amines.
Niu B; Lu WC; Yang SS; Cai YD; Li GZ
Acta Pharmacol Sin; 2007 Jul; 28(7):1075-86. PubMed ID: 17588345
[TBL] [Abstract][Full Text] [Related]
17. GRID/GOLPE 3D quantitative structure-activity relationship study on a set of benzamides and naphthamides, with affinity for the dopamine D3 receptor subtype.
Nilsson J; Wikström H; Smilde A; Glase S; Pugsley T; Cruciani G; Pastor M; Clementi S
J Med Chem; 1997 Mar; 40(6):833-40. PubMed ID: 9083471
[TBL] [Abstract][Full Text] [Related]
18. CoMFA-based prediction of agonist affinities at recombinant D1 vs D2 dopamine receptors.
Wilcox RE; Tseng T; Brusniak MY; Ginsburg B; Pearlman RS; Teeter M; DuRand C; Starr S; Neve KA
J Med Chem; 1998 Oct; 41(22):4385-99. PubMed ID: 9784114
[TBL] [Abstract][Full Text] [Related]
19. Prediction of aqueous solubility based on large datasets using several QSPR models utilizing topological structure representation.
Votano JR; Parham M; Hall LH; Kier LB; Hall LM
Chem Biodivers; 2004 Nov; 1(11):1829-41. PubMed ID: 17191819
[TBL] [Abstract][Full Text] [Related]
20. QSAR study on melanocortin-4 receptors by support vector machine.
Pourbasheer E; Riahi S; Ganjali MR; Norouzi P
Eur J Med Chem; 2010 Mar; 45(3):1087-93. PubMed ID: 20031282
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]