BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

244 related articles for article (PubMed ID: 16290201)

  • 1. Quantitative structure-pharmacokinetic relationships for drug clearance by using statistical learning methods.
    Yap CW; Li ZR; Chen YZ
    J Mol Graph Model; 2006 Mar; 24(5):383-95. PubMed ID: 16290201
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Three new consensus QSAR models for the prediction of Ames genotoxicity.
    Votano JR; Parham M; Hall LH; Kier LB; Oloff S; Tropsha A; Xie Q; Tong W
    Mutagenesis; 2004 Sep; 19(5):365-77. PubMed ID: 15388809
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Quantitative Structure-Pharmacokinetic Relationships for drug distribution properties by using general regression neural network.
    Yap CW; Chen YZ
    J Pharm Sci; 2005 Jan; 94(1):153-68. PubMed ID: 15761939
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Classification of a diverse set of Tetrahymena pyriformis toxicity chemical compounds from molecular descriptors by statistical learning methods.
    Xue Y; Li H; Ung CY; Yap CW; Chen YZ
    Chem Res Toxicol; 2006 Aug; 19(8):1030-9. PubMed ID: 16918241
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods.
    Li H; Ung CY; Yap CW; Xue Y; Li ZR; Chen YZ
    J Mol Graph Model; 2006 Nov; 25(3):313-23. PubMed ID: 16497524
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of antibacterial compounds by machine learning approaches.
    Yang XG; Chen D; Wang M; Xue Y; Chen YZ
    J Comput Chem; 2009 Jun; 30(8):1202-11. PubMed ID: 18988254
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of genotoxicity of chemical compounds by statistical learning methods.
    Li H; Ung CY; Yap CW; Xue Y; Li ZR; Cao ZW; Chen YZ
    Chem Res Toxicol; 2005 Jun; 18(6):1071-80. PubMed ID: 15962942
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of human pharmacokinetics--improving microsome-based predictions of hepatic metabolic clearance.
    Fagerholm U
    J Pharm Pharmacol; 2007 Oct; 59(10):1427-31. PubMed ID: 17910819
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Quantitative structure-activity relationship models of clinical pharmacokinetics: clearance and volume of distribution.
    Gombar VK; Hall SD
    J Chem Inf Model; 2013 Apr; 53(4):948-57. PubMed ID: 23451981
    [TBL] [Abstract][Full Text] [Related]  

  • 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; 49(24):7169-81. PubMed ID: 17125269
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Three-dimensional quantitative structure activity relationship computational approaches for prediction of human in vitro intrinsic clearance.
    Ekins S; Obach RS
    J Pharmacol Exp Ther; 2000 Nov; 295(2):463-73. PubMed ID: 11046077
    [TBL] [Abstract][Full Text] [Related]  

  • 14. QSPR models for the prediction of apparent volume of distribution.
    Ghafourian T; Barzegar-Jalali M; Dastmalchi S; Khavari-Khorasani T; Hakimiha N; Nokhodchi A
    Int J Pharm; 2006 Aug; 319(1-2):82-97. PubMed ID: 16698204
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of P-glycoprotein substrates by a support vector machine approach.
    Xue Y; Yap CW; Sun LZ; Cao ZW; Wang JF; Chen YZ
    J Chem Inf Comput Sci; 2004; 44(4):1497-505. PubMed ID: 15272858
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effect of molecular descriptor feature selection in support vector machine classification of pharmacokinetic and toxicological properties of chemical agents.
    Xue Y; Li ZR; Yap CW; Sun LZ; Chen X; Chen YZ
    J Chem Inf Comput Sci; 2004; 44(5):1630-8. PubMed ID: 15446820
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using general regression and probabilistic neural networks to predict human intestinal absorption with topological descriptors derived from two-dimensional chemical structures.
    Niwa T
    J Chem Inf Comput Sci; 2003; 43(1):113-9. PubMed ID: 12546543
    [TBL] [Abstract][Full Text] [Related]  

  • 18. First-principle, structure-based prediction of hepatic metabolic clearance values in human.
    Li H; Sun J; Sui X; Liu J; Yan Z; Liu X; Sun Y; He Z
    Eur J Med Chem; 2009 Apr; 44(4):1600-6. PubMed ID: 18768239
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Reevaluation of a quantitative structure pharmacokinetic model for biliary excretion in rats.
    Gandhi YA; Morris ME
    Drug Metab Dispos; 2012 Jul; 40(7):1259-62. PubMed ID: 22522747
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Anticancer activity of selected phenolic compounds: QSAR studies using ridge regression and neural networks.
    Nandi S; Vracko M; Bagchi MC
    Chem Biol Drug Des; 2007 Nov; 70(5):424-36. PubMed ID: 17949360
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.