Literature DB >> 9353181

Integrating genetic approaches into the discovery of anticancer drugs.

L H Hartwell1, P Szankasi, C J Roberts, A W Murray, S H Friend.   

Abstract

The discovery of anticancer drugs is now driven by the numerous molecular alterations identified in tumor cells over the past decade. To exploit these alterations, it is necessary to understand how they define a molecular context that allows increased sensitivity to particular compounds. Traditional genetic approaches together with the new wealth of genomic information for both human and model organisms open up strategies by which drugs can be profiled for their ability to selectively kill cells in a molecular context that matches those found in tumors. Similarly, it may be possible to identify and validate new targets for drugs that would selectively kill tumor cells with a particular molecular context. This article outlines some of the ways that yeast genetics can be used to streamline anticancer drug discovery.

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Year:  1997        PMID: 9353181     DOI: 10.1126/science.278.5340.1064

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  237 in total

1.  Choosing anticancer drug targets in the postgenomic era.

Authors:  W G Kaelin
Journal:  J Clin Invest       Date:  1999-12       Impact factor: 14.808

2.  Establishment of a chemical synthetic lethality screen in cultured human cells.

Authors:  A Simons; N Dafni; I Dotan; Y Oron; D Canaani
Journal:  Genome Res       Date:  2001-02       Impact factor: 9.043

Review 3.  Cell cycle checkpoints as therapeutic targets.

Authors:  Z A Stewart; J A Pietenpol
Journal:  J Mammary Gland Biol Neoplasia       Date:  1999-10       Impact factor: 2.673

4.  Modulation of protein-protein interactions by synthetic receptors: design of molecules that disrupt serine protease-proteinaceous inhibitor interaction.

Authors:  Hyung Soon Park; Qing Lin; Andrew D Hamilton
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-16       Impact factor: 11.205

5.  High-density cell microarrays for parallel functional determinations.

Authors:  C Wilson Xu
Journal:  Genome Res       Date:  2002-03       Impact factor: 9.043

6.  The Rad51 paralog Rad51B promotes homologous recombinational repair.

Authors:  M Takata; M S Sasaki; E Sonoda; T Fukushima; C Morrison; J S Albala; S M Swagemakers; R Kanaar; L H Thompson; S Takeda
Journal:  Mol Cell Biol       Date:  2000-09       Impact factor: 4.272

7.  Induction of the Cdk inhibitor p21 by LY83583 inhibits tumor cell proliferation in a p53-independent manner.

Authors:  Dimitri Lodygin; Antje Menssen; Heiko Hermeking
Journal:  J Clin Invest       Date:  2002-12       Impact factor: 14.808

8.  Consequences of nonadaptive alterations in cancer.

Authors:  Alexander Kamb
Journal:  Mol Biol Cell       Date:  2003-02-21       Impact factor: 4.138

9.  Exploiting oncogene-induced replicative stress for the selective killing of Myc-driven tumors.

Authors:  Matilde Murga; Stefano Campaner; Andres J Lopez-Contreras; Luis I Toledo; Rebeca Soria; Maria F Montaña; Luana D' Artista; Thomas Schleker; Carmen Guerra; Elena Garcia; Mariano Barbacid; Manuel Hidalgo; Bruno Amati; Oscar Fernandez-Capetillo
Journal:  Nat Struct Mol Biol       Date:  2011-11-27       Impact factor: 15.369

Review 10.  Redefining regulation of DNA methylation by RNA interference.

Authors:  Viswanathan Muthusamy; Marcus Bosenberg; Narendra Wajapeyee
Journal:  Genomics       Date:  2010-07-08       Impact factor: 5.736

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