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Items: 1 to 20 of 186

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 Nov-Dec;47(6):2063-76. Epub 2007 Oct 4.

PMID:
17915856
3.

Mining and visualizing large anticancer drug discovery databases.

Shi LM, Fan Y, Lee JK, Waltham M, Andrews DT, Scherf U, Paull KD, Weinstein JN.

J Chem Inf Comput Sci. 2000 Mar-Apr;40(2):367-79.

PMID:
10761142
4.

Mining the National Cancer Institute's tumor-screening database: identification of compounds with similar cellular activities.

Rabow AA, Shoemaker RH, Sausville EA, Covell DG.

J Med Chem. 2002 Feb 14;45(4):818-40.

PMID:
11831894
5.

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.

6.

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 Jan-Feb;44(1):249-57.

PMID:
14741034
7.

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. Review.

PMID:
14593711
8.
9.
10.

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. Epub 2003 Jun 18. Review.

PMID:
12819939
11.

Mining the NCI anticancer drug discovery databases: genetic function approximation for the QSAR study of anticancer ellipticine analogues.

Shi LM, Fan Y, Myers TG, O'Connor PM, Paull KD, Friend SH, Weinstein JN.

J Chem Inf Comput Sci. 1998 Mar-Apr;38(2):189-99.

PMID:
9538518
12.

COMPARE: a web accessible tool for investigating mechanisms of cell growth inhibition.

Zaharevitz DW, Holbeck SL, Bowerman C, Svetlik PA.

J Mol Graph Model. 2002 Jan;20(4):297-303.

PMID:
11858638
13.

Exploratory chemoinformatic analysis of cell type-selective anticancer drug targeting.

Shedden K, Rosania GR.

Mol Pharm. 2004 Jul-Aug;1(4):267-80.

PMID:
15981586
14.

Update on NCI in vitro drug screen utilities.

Holbeck SL.

Eur J Cancer. 2004 Apr;40(6):785-93.

PMID:
15120034
15.

National Cancer Institute Drug Information System 3D database.

Milne GW, Nicklaus MC, Driscoll JS, Wang S, Zaharevitz D.

J Chem Inf Comput Sci. 1994 Sep-Oct;34(5):1219-24.

PMID:
7962217
16.

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

Shankavaram UT, Varma S, Kane D, Sunshine M, Chary KK, Reinhold WC, Pommier Y, Weinstein JN.

BMC Genomics. 2009 Jun 23;10:277. doi: 10.1186/1471-2164-10-277.

17.
18.

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 1;16(7):4052-63. doi: 10.1016/j.bmc.2008.01.024. Epub 2008 Jan 19.

PMID:
18243714
19.

Molecular determinants of the cytotoxicity of platinum compounds: the contribution of in silico research.

Vekris A, Meynard D, Haaz MC, Bayssas M, Bonnet J, Robert J.

Cancer Res. 2004 Jan 1;64(1):356-62.

20.

An information-intensive approach to the molecular pharmacology of cancer.

Weinstein JN, Myers TG, O'Connor PM, Friend SH, Fornace AJ Jr, Kohn KW, Fojo T, Bates SE, Rubinstein LV, Anderson NL, Buolamwini JK, van Osdol WW, Monks AP, Scudiero DA, Sausville EA, Zaharevitz DW, Bunow B, Viswanadhan VN, Johnson GS, Wittes RE, Paull KD.

Science. 1997 Jan 17;275(5298):343-9.

PMID:
8994024
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