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Journal Abstract Search


168 related items for PubMed ID: 17915856

  • 1. Chemical data mining of the NCI human tumor cell line database.
    Wang H, Klinginsmith J, Dong X, Lee AC, Guha R, Wu Y, Crippen GM, Wild DJ.
    J Chem Inf Model; 2007; 47(6):2063-76. PubMed ID: 17915856
    [Abstract] [Full Text] [Related]

  • 2. Pharmacogenomic analysis: correlating molecular substructure classes with microarray gene expression data.
    Blower PE, Yang C, Fligner MA, Verducci JS, Yu L, Richman S, Weinstein JN.
    Pharmacogenomics J; 2002; 2(4):259-71. PubMed ID: 12196914
    [Abstract] [Full Text] [Related]

  • 3. Web-based tools for mining the NCI databases for anticancer drug discovery.
    Fang X, Shao L, Zhang H, Wang S.
    J Chem Inf Comput Sci; 2004; 44(1):249-57. PubMed ID: 14741034
    [Abstract] [Full Text] [Related]

  • 4. Mining the NCI screening database: explorations of agents involved in cell cycle regulation.
    Wallqvist A, Monks A, Rabow AA, Thanki N, Shoemaker RH, Covell DG.
    Prog Cell Cycle Res; 2003; 5():173-9. PubMed ID: 14593711
    [Abstract] [Full Text] [Related]

  • 5. Data mining the NCI cancer cell line compound GI(50) values: identifying quinone subtypes effective against melanoma and leukemia cell classes.
    Marx KA, O'Neil P, Hoffman P, Ujwal ML.
    J Chem Inf Comput Sci; 2003; 43(5):1652-67. PubMed ID: 14502500
    [Abstract] [Full Text] [Related]

  • 6. Panel of human cancer cell lines provides valuable database for drug discovery and bioinformatics.
    Yamori T.
    Cancer Chemother Pharmacol; 2003 Jul; 52 Suppl 1():S74-9. PubMed ID: 12819939
    [Abstract] [Full Text] [Related]

  • 7. Update on NCI in vitro drug screen utilities.
    Holbeck SL.
    Eur J Cancer; 2004 Apr; 40(6):785-93. PubMed ID: 15120034
    [Abstract] [Full Text] [Related]

  • 8. [Chemical evaluation by cancer cell line panel and its role in molecular target-based anticancer drug screening].
    Yamori T.
    Gan To Kagaku Ryoho; 2004 Apr; 31(4):485-90. PubMed ID: 15114687
    [Abstract] [Full Text] [Related]

  • 9. A structural analysis of the differential cytotoxicity of chemicals in the NCI-60 cancer cell lines.
    Chakravarti SK, Klopman G.
    Bioorg Med Chem; 2008 Apr 01; 16(7):4052-63. PubMed ID: 18243714
    [Abstract] [Full Text] [Related]

  • 10. The preclinical new drug research program of the National Cancer Institute.
    Driscoll JS.
    Cancer Treat Rep; 1984 Jan 01; 68(1):63-76. PubMed ID: 6692438
    [Abstract] [Full Text] [Related]

  • 11. JFCR39, a panel of 39 human cancer cell lines, and its application in the discovery and development of anticancer drugs.
    Kong D, Yamori T.
    Bioorg Med Chem; 2012 Mar 15; 20(6):1947-51. PubMed ID: 22336246
    [Abstract] [Full Text] [Related]

  • 12. CYCLONET--an integrated database on cell cycle regulation and carcinogenesis.
    Kolpakov F, Poroikov V, Sharipov R, Kondrakhin Y, Zakharov A, Lagunin A, Milanesi L, Kel A.
    Nucleic Acids Res; 2007 Jan 15; 35(Database issue):D550-6. PubMed ID: 17202170
    [Abstract] [Full Text] [Related]

  • 13. Prediction of drug efficacy for cancer treatment based on comparative analysis of chemosensitivity and gene expression data.
    Wan P, Li Q, Larsen JE, Eklund AC, Parlesak A, Rigina O, Nielsen SJ, Björkling F, Jónsdóttir SÓ.
    Bioorg Med Chem; 2012 Jan 01; 20(1):167-76. PubMed ID: 22154557
    [Abstract] [Full Text] [Related]

  • 14. Anticancer metal compounds in NCI's tumor-screening database: putative mode of action.
    Huang R, Wallqvist A, Covell DG.
    Biochem Pharmacol; 2005 Apr 01; 69(7):1009-39. PubMed ID: 15763539
    [Abstract] [Full Text] [Related]

  • 15. PASS biological activity spectrum predictions in the enhanced open NCI database browser.
    Poroikov VV, Filimonov DA, Ihlenfeldt WD, Gloriozova TA, Lagunin AA, Borodina YV, Stepanchikova AV, Nicklaus MC.
    J Chem Inf Comput Sci; 2003 Apr 01; 43(1):228-36. PubMed ID: 12546557
    [Abstract] [Full Text] [Related]

  • 16. A protein expression database for the molecular pharmacology of cancer.
    Myers TG, Anderson NL, Waltham M, Li G, Buolamwini JK, Scudiero DA, Paull KD, Sausville EA, Weinstein JN.
    Electrophoresis; 1997 Apr 01; 18(3-4):647-53. PubMed ID: 9150955
    [Abstract] [Full Text] [Related]

  • 17. Structure-based identification of novel human gamma-glutamylcysteine synthetase inhibitors.
    Hamilton D, Wu JH, Batist G.
    Mol Pharmacol; 2007 Apr 01; 71(4):1140-7. PubMed ID: 17229871
    [Abstract] [Full Text] [Related]

  • 18. CHMIS-C: a comprehensive herbal medicine information system for cancer.
    Fang X, Shao L, Zhang H, Wang S.
    J Med Chem; 2005 Mar 10; 48(5):1481-8. PubMed ID: 15743190
    [Abstract] [Full Text] [Related]

  • 19. Predictive statistics and artificial intelligence in the U.S. National Cancer Institute's Drug Discovery Program for Cancer and AIDS.
    Weinstein JN, Myers T, Buolamwini J, Raghavan K, van Osdol W, Licht J, Viswanadhan VN, Kohn KW, Rubinstein LV, Koutsoukos AD.
    Stem Cells; 1994 Jan 10; 12(1):13-22. PubMed ID: 8142917
    [Abstract] [Full Text] [Related]

  • 20. Linking tumor cell cytotoxicity to mechanism of drug action: an integrated analysis of gene expression, small-molecule screening and structural databases.
    Covell DG, Wallqvist A, Huang R, Thanki N, Rabow AA, Lu XJ.
    Proteins; 2005 May 15; 59(3):403-33. PubMed ID: 15778971
    [Abstract] [Full Text] [Related]


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