Europe PMC
Nothing Special   »   [go: up one dir, main page]

Europe PMC requires Javascript to function effectively.

Either your web browser doesn't support Javascript or it is currently turned off. In the latter case, please turn on Javascript support in your web browser and reload this page.

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Integrating genetic approaches into the discovery of anticancer drugs.

Author information

Affiliations

  • 1. Seattle Project, Molecular Pharmacology Department, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
      Authors
    • Hartwell LH 1
    (1 author)

Science, 01 Nov 1997, 278(5340):1064-1068
https://doi.org/10.1126/science.278.5340.1064 PMID: 9353181 

Review

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.

Full text links 

Read article at publisher's site: https://doi.org/10.1126/science.278.5340.1064

Citations & impact 

Impact metrics

439
Citations
Jump to Citations
1
Data citation
Jump to Data

Citations of article over time

Alternative metrics

Altmetric item for https://www.altmetric.com/details/2712898
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/2712898

Smart citations by scite.ai
Smart citations by scite.ai include citation statements extracted from the full text of the citing article. The number of the statements may be higher than the number of citations provided by EuropePMC if one paper cites another multiple times or lower if scite has not yet processed some of the citing articles.
Explore citation contexts and check if this article has been supported or disputed.
https://scite.ai/reports/10.1126/science.278.5340.1064

Supporting
Mentioning
Contrasting
1
472
0

Article citations

Go to all (439) article citations

Other citations

Data 

Similar Articles 

To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.

    Funding 

    Funders who supported this work.

    NCI NIH HHS (1)