Mining the genome with RNAi to select cancer drug targets

Kan, J. L. C., Griffin, G., Hannon, G. J. (2004) Mining the genome with RNAi to select cancer drug targets. Drug Discovery Today: Therapeutic Strategies, 1 (4). pp. 397-401. ISSN 17406773 (ISSN)

URL: http://www.sciencedirect.com/science/article/pii/S...
DOI: 10.1016/j.ddstr.2004.10.004

Abstract

Identifying the most optimal novel targets for cancer drug discovery is a challenge because of the multi-factorial nature of the disease. Carefully designed studies that probe protein function and give insight into biological roles enables sound choices for drug discovery and development programs. We focus here on the impact of using RNAi to probe the biological function of proteins for target identification and selection for discovering small molecule drugs. © 2004 Elsevier Ltd. All rights reserved.

Item Type: Paper
Uncontrolled Keywords: antineoplastic agent antisense oligodeoxynucleotide double stranded RNA short hairpin RNA small interfering RNA article bioinformatics cell activity cell line correlation analysis drug design drug research drug targeting gene expression gene function gene silencing genetic analysis genetic screening high throughput screening human in vivo study knockout gene medical decision making methodology molecular biology nonhuman protein function RNA interference RNA vector synthesis
Subjects: diseases & disorders > cancer
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > DNA, RNA structure, function, modification > RNAi
therapies > cancer drugs - see diseases-cancer-drugs and therapies
bioinformatics > genomics and proteomics > genetics & nucleic acid processing > genomes
CSHL Authors:
Communities: CSHL labs > Hannon lab
Depositing User: Matt Covey
Date: 2004
Date Deposited: 09 Jan 2013 16:52
Last Modified: 02 Dec 2016 19:42
URI: http://repository.cshl.edu/id/eprint/26453

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