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PUBMED FOR HANDHELDS

Journal Abstract Search


332 related items for PubMed ID: 15272858

  • 21. Utility of 96 well Caco-2 cell system for increased throughput of P-gp screening in drug discovery.
    Balimane PV, Patel K, Marino A, Chong S.
    Eur J Pharm Biopharm; 2004 Jul; 58(1):99-105. PubMed ID: 15207543
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  • 22. A novel approach using pharmacophore ensemble/support vector machine (PhE/SVM) for prediction of hERG liability.
    Leong MK.
    Chem Res Toxicol; 2007 Feb; 20(2):217-26. PubMed ID: 17261034
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  • 24. 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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  • 26. In silico log P prediction for a large data set with support vector machines, radial basis neural networks and multiple linear regression.
    Chen HF.
    Chem Biol Drug Des; 2009 Aug 16; 74(2):142-7. PubMed ID: 19549084
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  • 27. A topological substructural approach for the prediction of P-glycoprotein substrates.
    Cabrera MA, González I, Fernández C, Navarro C, Bermejo M.
    J Pharm Sci; 2006 Mar 16; 95(3):589-606. PubMed ID: 16432877
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  • 32. Classification of cytochrome P450 1A2 inhibitors and noninhibitors by machine learning techniques.
    Vasanthanathan P, Taboureau O, Oostenbrink C, Vermeulen NP, Olsen L, Jørgensen FS.
    Drug Metab Dispos; 2009 Mar 16; 37(3):658-64. PubMed ID: 19056915
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  • 33. An integrated scheme for feature selection and parameter setting in the support vector machine modeling and its application to the prediction of pharmacokinetic properties of drugs.
    Yang SY, Huang Q, Li LL, Ma CY, Zhang H, Bai R, Teng QZ, Xiang ML, Wei YQ.
    Artif Intell Med; 2009 Jun 16; 46(2):155-63. PubMed ID: 18701266
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  • 35. [SVM-aided cancer diagnosis based on the concentration of the macroelement and microelement in human blood].
    Yuan Q, Cai C, Xiao H, Liu X, Wen Y.
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2007 Jun 16; 24(3):513-8. PubMed ID: 17713251
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  • 36. Substructure-based support vector machine classifiers for prediction of adverse effects in diverse classes of drugs.
    Bhavani S, Nagargadde A, Thawani A, Sridhar V, Chandra N.
    J Chem Inf Model; 2006 Jun 16; 46(6):2478-86. PubMed ID: 17125188
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  • 39. ADME evaluation in drug discovery. 8. The prediction of human intestinal absorption by a support vector machine.
    Hou T, Wang J, Li Y.
    J Chem Inf Model; 2007 Jun 16; 47(6):2408-15. PubMed ID: 17929911
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