265 related articles for article (PubMed ID: 20031282)
1. 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]
2. Synthesis and characterization of trans-4-(4-chlorophenyl)pyrrolidine-3-carboxamides of piperazinecyclohexanes as ligands for the melanocortin-4 receptor.
Chen CW; Tran JA; Fleck BA; Tucci FC; Jiang W; Chen C
Bioorg Med Chem Lett; 2007 Dec; 17(24):6825-31. PubMed ID: 17964151
[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. Exploring QSARs for antiviral activity of 4-alkylamino-6-(2-hydroxyethyl)-2-methylthiopyrimidines by support vector machine.
Riahi S; Pourbasheer E; Dinarvand R; Ganjali MR; Norouzi P
Chem Biol Drug Des; 2008 Sep; 72(3):205-16. PubMed ID: 18715229
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. QSAR study of 2-(1-Propylpiperidin-4-yl)-1H-benzimidazole-4-carboxamide as PARP inhibitors for treatment of cancer.
Riahi S; Pourbasheer E; Dinarvand R; Ganjali MR; Norouzi P
Chem Biol Drug Des; 2008 Dec; 72(6):575-84. PubMed ID: 19090924
[TBL] [Abstract][Full Text] [Related]
7. Support vector machine-based quantitative structure-activity relationship study of cholesteryl ester transfer protein inhibitors.
Riahi S; Pourbasheer E; Ganjali MR; Norouzi P
Chem Biol Drug Des; 2009 May; 73(5):558-71. PubMed ID: 19323654
[TBL] [Abstract][Full Text] [Related]
8. Exploring QSARs for inhibitory activity of non-peptide HIV-1 protease inhibitors by GA-PLS and GA-SVM.
Deeb O; Goodarzi M
Chem Biol Drug Des; 2010 May; 75(5):506-14. PubMed ID: 20486937
[TBL] [Abstract][Full Text] [Related]
9. Investigation of different linear and nonlinear chemometric methods for modeling of retention index of essential oil components: concerns to support vector machine.
Riahi S; Pourbasheer E; Ganjali MR; Norouzi P
J Hazard Mater; 2009 Jul; 166(2-3):853-9. PubMed ID: 19144466
[TBL] [Abstract][Full Text] [Related]
10. Simultaneously optimized support vector regression combined with genetic algorithm for QSAR analysis of KDR/VEGFR-2 inhibitors.
Sun M; Chen J; Cai J; Cao M; Yin S; Ji M
Chem Biol Drug Des; 2010 May; 75(5):494-505. PubMed ID: 20486936
[TBL] [Abstract][Full Text] [Related]
11. Application of support vector machine (SVM) for prediction toxic activity of different data sets.
Zhao CY; Zhang HX; Zhang XY; Liu MC; Hu ZD; Fan BT
Toxicology; 2006 Jan; 217(2-3):105-19. PubMed ID: 16213080
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. QSAR models for the prediction of binding affinities to human serum albumin using the heuristic method and a support vector machine.
Xue CX; Zhang RS; Liu HX; Yao XJ; Liu MC; Hu ZD; Fan BT
J Chem Inf Comput Sci; 2004; 44(5):1693-700. PubMed ID: 15446828
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Prediction of fungicidal activities of rice blast disease based on least-squares support vector machines and project pursuit regression.
Du H; Wang J; Hu Z; Yao X; Zhang X
J Agric Food Chem; 2008 Nov; 56(22):10785-92. PubMed ID: 18950187
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. QSAR study of carboxylic acid derivatives as HIV-1 Integrase inhibitors.
Cheng Z; Zhang Y; Fu W
Eur J Med Chem; 2010 Sep; 45(9):3970-80. PubMed ID: 20561721
[TBL] [Abstract][Full Text] [Related]
18. Quantitative structure-property relationship studies on electrochemical degradation of substituted phenols using a support vector machine.
Yuan S; Xiao M; Zheng G; Tian M; Lu X
SAR QSAR Environ Res; 2006 Oct; 17(5):473-81. PubMed ID: 17050187
[TBL] [Abstract][Full Text] [Related]
19. Proteochemometric mapping of the interaction of organic compounds with melanocortin receptor subtypes.
Lapinsh M; Veiksina S; Uhlén S; Petrovska R; Mutule I; Mutulis F; Yahorava S; Prusis P; Wikberg JE
Mol Pharmacol; 2005 Jan; 67(1):50-9. PubMed ID: 15470082
[TBL] [Abstract][Full Text] [Related]
20. Benchmarking of linear and nonlinear approaches for quantitative structure-property relationship studies of metal complexation with ionophores.
Tetko IV; Solov'ev VP; Antonov AV; Yao X; Doucet JP; Fan B; Hoonakker F; Fourches D; Jost P; Lachiche N; Varnek A
J Chem Inf Model; 2006; 46(2):808-19. PubMed ID: 16563012
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
