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Journal Abstract Search

308 related items for PubMed ID: 12904067

  • 1. Modeling of human cytochrome p450-mediated drug metabolism using unsupervised machine learning approach.
    Korolev D, Balakin KV, Nikolsky Y, Kirillov E, Ivanenkov YA, Savchuk NP, Ivashchenko AA, Nikolskaya T.
    J Med Chem; 2003 Aug 14; 46(17):3631-43. PubMed ID: 12904067
    [Abstract] [Full Text] [Related]

  • 2. Designing better drugs: predicting cytochrome P450 metabolism.
    de Groot MJ.
    Drug Discov Today; 2006 Jul 14; 11(13-14):601-6. PubMed ID: 16793528
    [Abstract] [Full Text] [Related]

  • 3. [Cytochrome P450 isoenzymes in metabolism of endo- and exogenic compounds].
    Wiśniewska A, Mazerska Z.
    Postepy Biochem; 2009 Jul 14; 55(3):259-71. PubMed ID: 19928582
    [Abstract] [Full Text] [Related]

  • 4. Comparison of linear and nonlinear classification algorithms for the prediction of drug and chemical metabolism by human UDP-glucuronosyltransferase isoforms.
    Sorich MJ, Miners JO, McKinnon RA, Winkler DA, Burden FR, Smith PA.
    J Chem Inf Comput Sci; 2003 Jul 14; 43(6):2019-24. PubMed ID: 14632453
    [Abstract] [Full Text] [Related]

  • 5. Classification of substrates and inhibitors of P-glycoprotein using unsupervised machine learning approach.
    Wang YH, Li Y, Yang SL, Yang L.
    J Chem Inf Model; 2005 Jul 14; 45(3):750-7. PubMed ID: 15921464
    [Abstract] [Full Text] [Related]

  • 6. Classification of highly unbalanced CYP450 data of drugs using cost sensitive machine learning techniques.
    Eitrich T, Kless A, Druska C, Meyer W, Grotendorst J.
    J Chem Inf Model; 2007 Jul 14; 47(1):92-103. PubMed ID: 17238253
    [Abstract] [Full Text] [Related]

  • 7. MetaSite: understanding metabolism in human cytochromes from the perspective of the chemist.
    Cruciani G, Carosati E, De Boeck B, Ethirajulu K, Mackie C, Howe T, Vianello R.
    J Med Chem; 2005 Nov 03; 48(22):6970-9. PubMed ID: 16250655
    [Abstract] [Full Text] [Related]

  • 8. Human CYPs involved in drug metabolism: structures, substrates and binding affinities.
    Lewis DF, Ito Y.
    Expert Opin Drug Metab Toxicol; 2010 Jun 03; 6(6):661-74. PubMed ID: 20402561
    [Abstract] [Full Text] [Related]

  • 9. Novel hierarchical classification and visualization method for multiobjective optimization of drug properties: application to structure-activity relationship analysis of cytochrome P450 metabolism.
    Yamashita F, Hara H, Ito T, Hashida M.
    J Chem Inf Model; 2008 Feb 03; 48(2):364-9. PubMed ID: 18211048
    [Abstract] [Full Text] [Related]

  • 10. 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 Feb 03; 44(4):1497-505. PubMed ID: 15272858
    [Abstract] [Full Text] [Related]

  • 11. Classification of cytochrome p(450) activities using machine learning methods.
    Hammann F, Gutmann H, Baumann U, Helma C, Drewe J.
    Mol Pharm; 2009 Feb 03; 6(6):1920-6. PubMed ID: 19813762
    [Abstract] [Full Text] [Related]

  • 12. Prediction of drug-like molecular properties: modeling cytochrome p450 interactions.
    Jalaie M, Arimoto R, Gifford E, Schefzick S, Waller CL.
    Methods Mol Biol; 2004 Feb 03; 275():449-520. PubMed ID: 15141126
    [Abstract] [Full Text] [Related]

  • 13. High confidence predictions of drug-drug interactions: predicting affinities for cytochrome P450 2C9 with multiple computational methods.
    Hudelson MG, Ketkar NS, Holder LB, Carlson TJ, Peng CC, Waldher BJ, Jones JP.
    J Med Chem; 2008 Feb 14; 51(3):648-54. PubMed ID: 18211009
    [Abstract] [Full Text] [Related]

  • 14. Cytochrome P450 networks in chemical space.
    Lee S, Kim D.
    Arch Pharm Res; 2010 Sep 14; 33(9):1361-74. PubMed ID: 20945135
    [Abstract] [Full Text] [Related]

  • 15. [Features of the metabolism of various drugs involving cytochrome P-450 isoenzymes].
    Filimonova AA, Ziganshin AU, Ziganshina LE.
    Eksp Klin Farmakol; 2007 Sep 14; 70(3):69-77. PubMed ID: 17650639
    [Abstract] [Full Text] [Related]

  • 16. Predicting drug metabolism: a site of metabolism prediction tool applied to the cytochrome P450 2C9.
    Zamora I, Afzelius L, Cruciani G.
    J Med Chem; 2003 Jun 05; 46(12):2313-24. PubMed ID: 12773036
    [Abstract] [Full Text] [Related]

  • 17. Rapid prediction of chemical metabolism by human UDP-glucuronosyltransferase isoforms using quantum chemical descriptors derived with the electronegativity equalization method.
    Sorich MJ, McKinnon RA, Miners JO, Winkler DA, Smith PA.
    J Med Chem; 2004 Oct 07; 47(21):5311-7. PubMed ID: 15456275
    [Abstract] [Full Text] [Related]

  • 18. Validation of model of cytochrome P450 2D6: an in silico tool for predicting metabolism and inhibition.
    Kemp CA, Flanagan JU, van Eldik AJ, Maréchal JD, Wolf CR, Roberts GC, Paine MJ, Sutcliffe MJ.
    J Med Chem; 2004 Oct 21; 47(22):5340-6. PubMed ID: 15481972
    [Abstract] [Full Text] [Related]

  • 19. Human P450s involved in drug metabolism and the use of structural modelling for understanding substrate selectivity and binding affinity.
    Lewis DF, Ito Y.
    Xenobiotica; 2009 Aug 21; 39(8):625-35. PubMed ID: 19514836
    [Abstract] [Full Text] [Related]

  • 20. Evaluation of recombinant cytochrome P450 enzymes as an in vitro system for metabolic clearance predictions.
    Stringer RA, Strain-Damerell C, Nicklin P, Houston JB.
    Drug Metab Dispos; 2009 May 21; 37(5):1025-34. PubMed ID: 19196847
    [Abstract] [Full Text] [Related]

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