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Journal Abstract Search


554 related items for PubMed ID: 17870538

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  • 2. 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
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  • 3. 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
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  • 5. 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
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  • 6. 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
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  • 7. 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 30; 31(10):1956-68. PubMed ID: 20512843
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  • 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 30; 75(5):506-14. PubMed ID: 20486937
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  • 9. 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 May 30; 20(1-2):77-90. PubMed ID: 19343584
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  • 10. 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 16; 217(2-3):105-19. PubMed ID: 16213080
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  • 11. 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 30; 49(24):7169-81. PubMed ID: 17125269
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  • 12. Support vector machines-based quantitative structure-property relationship for the prediction of heat capacity.
    Xue CX, Zhang RS, Liu HX, Liu MC, Hu ZD, Fan BT.
    J Chem Inf Comput Sci; 2004 Nov 30; 44(4):1267-74. PubMed ID: 15272834
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  • 13. Prediction models of human plasma protein binding rate and oral bioavailability derived by using GA-CG-SVM method.
    Ma CY, Yang SY, Zhang H, Xiang ML, Huang Q, Wei YQ.
    J Pharm Biomed Anal; 2008 Aug 05; 47(4-5):677-82. PubMed ID: 18455346
    [Abstract] [Full Text] [Related]

  • 14. 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 05; 72(3):205-16. PubMed ID: 18715229
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  • 20. Novel TOPP descriptors in 3D-QSAR analysis of apoptosis inducing 4-aryl-4H-chromenes: comparison versus other 2D- and 3D-descriptors.
    Sciabola S, Carosati E, Cucurull-Sanchez L, Baroni M, Mannhold R.
    Bioorg Med Chem; 2007 Oct 01; 15(19):6450-62. PubMed ID: 17658263
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