478 related articles for article (PubMed ID: 19338295)
21. Prediction of intrinsic solubility of generic drugs using MLR, ANN and SVM analyses.
Louis B; Agrawal VK; Khadikar PV
Eur J Med Chem; 2010 Sep; 45(9):4018-25. PubMed ID: 20584562
[TBL] [Abstract][Full Text] [Related]
22. Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity.
Pourbasheer E; Riahi S; Ganjali MR; Norouzi P
Eur J Med Chem; 2009 Dec; 44(12):5023-8. PubMed ID: 19837488
[TBL] [Abstract][Full Text] [Related]
23. Toward an optimal procedure for PC-ANN model building: prediction of the carcinogenic activity of a large set of drugs.
Hemmateenejad B; Safarpour MA; Miri R; Nesari N
J Chem Inf Model; 2005; 45(1):190-9. PubMed ID: 15667145
[TBL] [Abstract][Full Text] [Related]
24. 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]
25. A tentative quantitative structure-toxicity relationship study of benzodiazepine drugs.
Funar-Timofei S; Ionescu D; Suzuki T
Toxicol In Vitro; 2010 Feb; 24(1):184-200. PubMed ID: 19765642
[TBL] [Abstract][Full Text] [Related]
26. Variable selection in near-infrared spectroscopy: benchmarking of feature selection methods on biodiesel data.
Balabin RM; Smirnov SV
Anal Chim Acta; 2011 Apr; 692(1-2):63-72. PubMed ID: 21501713
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Combined genetic algorithm and multiple linear regression (GA-MLR) optimizer: Application to multi-exponential fluorescence decay surface.
Fisz JJ
J Phys Chem A; 2006 Dec; 110(48):12977-85. PubMed ID: 17134156
[TBL] [Abstract][Full Text] [Related]
29. Pharmacophore modeling, quantitative structure-activity relationship analysis, and in silico screening reveal potent glycogen synthase kinase-3beta inhibitory activities for cimetidine, hydroxychloroquine, and gemifloxacin.
Taha MO; Bustanji Y; Al-Ghussein MA; Mohammad M; Zalloum H; Al-Masri IM; Atallah N
J Med Chem; 2008 Apr; 51(7):2062-77. PubMed ID: 18324764
[TBL] [Abstract][Full Text] [Related]
30. QSAR analysis for some diaryl-substituted pyrazoles as CCR2 inhibitors by GA-stepwise MLR.
Saghaie L; Shahlaei M; Fassihi A; Madadkar-Sobhani A; Gholivand MB; Pourhossein A
Chem Biol Drug Des; 2011 Jan; 77(1):75-85. PubMed ID: 21118376
[TBL] [Abstract][Full Text] [Related]
31. QSAR models for 2-amino-6-arylsulfonylbenzonitriles and congeners HIV-1 reverse transcriptase inhibitors based on linear and nonlinear regression methods.
Hu R; Doucet JP; Delamar M; Zhang R
Eur J Med Chem; 2009 May; 44(5):2158-71. PubMed ID: 19054595
[TBL] [Abstract][Full Text] [Related]
32. Prediction of cytotoxicity data (CC(50)) of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg-Marquardt algorithm.
Arab Chamjangali M; Beglari M; Bagherian G
J Mol Graph Model; 2007 Jul; 26(1):360-7. PubMed ID: 17350867
[TBL] [Abstract][Full Text] [Related]
33. QSAR study of heparanase inhibitors activity using artificial neural networks and Levenberg-Marquardt algorithm.
Jalali-Heravi M; Asadollahi-Baboli M; Shahbazikhah P
Eur J Med Chem; 2008 Mar; 43(3):548-56. PubMed ID: 17602800
[TBL] [Abstract][Full Text] [Related]
34. Variable selection and interpretation in structure-affinity correlation modeling of estrogen receptor binders.
Marini F; Roncaglioni A; Novic M
J Chem Inf Model; 2005; 45(6):1507-19. PubMed ID: 16309247
[TBL] [Abstract][Full Text] [Related]
35. Prediction of lambda(max) of 1,4-naphthoquinone derivatives using ant colony optimization.
Atabati M; Zarei K; Mohsennia M
Anal Chim Acta; 2010 Mar; 663(1):7-10. PubMed ID: 20172089
[TBL] [Abstract][Full Text] [Related]
36. Application of PC-ANN and PC-LS-SVM in QSAR of CCR1 antagonist compounds: a comparative study.
Shahlaei M; Fassihi A; Saghaie L
Eur J Med Chem; 2010 Apr; 45(4):1572-82. PubMed ID: 20170987
[TBL] [Abstract][Full Text] [Related]
37. A comparison of quantitative structure-activity relationships for the effect of benzoic and cinnamic acids on Listeria monocytogenes using multiple linear regression, artificial neural network and fuzzy systems.
Ramos-Nino ME; Ramirez-Rodriguez CA; Clifford MN; Adams MR
J Appl Microbiol; 1997 Feb; 82(2):168-76. PubMed ID: 12452590
[TBL] [Abstract][Full Text] [Related]
38. Support vector machine regression (LS-SVM)--an alternative to artificial neural networks (ANNs) for the analysis of quantum chemistry data?
Balabin RM; Lomakina EI
Phys Chem Chem Phys; 2011 Jun; 13(24):11710-8. PubMed ID: 21594265
[TBL] [Abstract][Full Text] [Related]
39. Genetic algorithm applied to the selection of factors in principal component-artificial neural networks: application to QSAR study of calcium channel antagonist activity of 1,4-dihydropyridines (nifedipine analogous).
Hemmateenejad B; Akhond M; Miri R; Shamsipur M
J Chem Inf Comput Sci; 2003; 43(4):1328-34. PubMed ID: 12870926
[TBL] [Abstract][Full Text] [Related]
40. Variable selection in visible/near infrared spectra for linear and nonlinear calibrations: a case study to determine soluble solids content of beer.
Liu F; Jiang Y; He Y
Anal Chim Acta; 2009 Mar; 635(1):45-52. PubMed ID: 19200477
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
