The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Integrating Genetic Approaches into the Discovery of Anticancer Drugs
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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Cited by
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Metadata
- Authors
- Hartwell, L. H., Szankasi, P., Roberts, C. J., Murray, A. W., & Friend, S. H.
- Venue
- Science
- Published
- 1997-11-07
- Volume
- 278
- Issue
- 5340
- Pages
- 1064-1068
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2124156743
- Cited by
- 773
- References
- 54
- FWCI
- 17.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hartwell, L. H., Szankasi, P., Roberts, C. J., Murray, A. W., & Friend, S. H. (1997). Integrating Genetic Approaches into the Discovery of Anticancer Drugs. Science. https://doi.org/10.1126/science.278.5340.1064
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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