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Journal Abstract Search

281 related items for PubMed ID: 22771548

  • 1. 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 29; 47(2):421-9. PubMed ID: 22771548
    [Abstract] [Full Text] [Related]

  • 2. In-silico prediction of blood-brain barrier permeability.
    Yan A, Liang H, Chong Y, Nie X, Yu C.
    SAR QSAR Environ Res; 2013 Jan 29; 24(1):61-74. PubMed ID: 23092117
    [Abstract] [Full Text] [Related]

  • 3. Investigating the utility of momentum-space descriptors for predicting blood-brain barrier penetration.
    Al-Fahemi JH, Cooper DL, Allan NL.
    J Mol Graph Model; 2007 Oct 29; 26(3):607-12. PubMed ID: 17300970
    [Abstract] [Full Text] [Related]

  • 4. 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; 15(24):7746-54. PubMed ID: 17870538
    [Abstract] [Full Text] [Related]

  • 5. 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 15; 75(5):506-14. PubMed ID: 20486937
    [Abstract] [Full Text] [Related]

  • 6. 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 15; 57(2):127-9. PubMed ID: 11878188
    [Abstract] [Full Text] [Related]

  • 7. Predictive model of blood-brain barrier penetration of organic compounds.
    Ma XL, Chen C, Yang J.
    Acta Pharmacol Sin; 2005 Apr 15; 26(4):500-12. PubMed ID: 15780201
    [Abstract] [Full Text] [Related]

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  • 9. 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 26; 56(22):10785-92. PubMed ID: 18950187
    [Abstract] [Full Text] [Related]

  • 10. Gaussian processes for classification: QSAR modeling of ADMET and target activity.
    Obrezanova O, Segall MD.
    J Chem Inf Model; 2010 Jun 28; 50(6):1053-61. PubMed ID: 20433177
    [Abstract] [Full Text] [Related]

  • 11. Insights for predicting blood-brain barrier penetration of CNS targeted molecules using QSPR approaches.
    Fan Y, Unwalla R, Denny RA, Di L, Kerns EH, Diller DJ, Humblet C.
    J Chem Inf Model; 2010 Jun 28; 50(6):1123-33. PubMed ID: 20578728
    [Abstract] [Full Text] [Related]

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  • 13. Ionization-specific QSAR models of blood-brain penetration of drugs.
    Lanevskij K, Japertas P, Didziapetris R, Petrauskas A.
    Chem Biodivers; 2009 Nov 28; 6(11):2050-4. PubMed ID: 19937840
    [Abstract] [Full Text] [Related]

  • 14. 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; 28(7):1075-86. PubMed ID: 17588345
    [Abstract] [Full Text] [Related]

  • 15. 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 30; 166(2-3):853-9. PubMed ID: 19144466
    [Abstract] [Full Text] [Related]

  • 16. 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 30; 44(12):5023-8. PubMed ID: 19837488
    [Abstract] [Full Text] [Related]

  • 17. Prediction of blood-brain partitioning: a model based on molecular electronegativity distance vector descriptors.
    Zhang YH, Xia ZN, Qin LT, Liu SS.
    J Mol Graph Model; 2010 Sep 30; 29(2):214-20. PubMed ID: 20637670
    [Abstract] [Full Text] [Related]

  • 18. Application of genetic algorithm-kernel partial least square as a novel non-linear feature selection method: partitioning of drug molecules.
    Noorizadeh H, Sobhan Ardakani S, Ahmadi T, Mortazavi SS, Noorizadeh M.
    Drug Test Anal; 2013 Feb 30; 5(2):89-95. PubMed ID: 21438162
    [Abstract] [Full Text] [Related]

  • 19. A quantitative structure-activity relationship (QSAR) study of dermal absorption using theoretical molecular descriptors.
    Basak SC, Mills D, Mumtaz MM.
    SAR QSAR Environ Res; 2007 Feb 30; 18(1-2):45-55. PubMed ID: 17365958
    [Abstract] [Full Text] [Related]

  • 20. Improvement of multivariate image analysis applied to quantitative structure-activity relationship (QSAR) analysis by using wavelet-principal component analysis ranking variable selection and least-squares support vector machine regression: QSAR study of checkpoint kinase WEE1 inhibitors.
    Cormanich RA, Goodarzi M, Freitas MP.
    Chem Biol Drug Des; 2009 Feb 30; 73(2):244-52. PubMed ID: 19207427
    [Abstract] [Full Text] [Related]

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