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In silico Genetic Network Models for Pre-clinical Drug Prioritization Nature Precedings
Jianghui Xiong; Juan Liu; Simon Rayner; Ze Tian; Yinghui Li; Shanguang Chen.
The high rates of failure in oncology drug clinical trials highlight the problems of using pre-clinical data to predict the clinical effects of drugs. Patient population heterogeneity and unpredictable physiology complicate pre-clinical cancer modeling efforts. We hypothesize that gene networks associated with cancer outcome in heterogeneous patient populations could serve as a reference for identifying drug effects. Here we propose a novel in vivo genetic interaction which we call ‘synergistic outcome determination’ (SOD), a concept similar to ‘Synthetic Lethality’. SOD is defined as the synergy of a gene pair with respect to cancer patients' outcome, whose correlation with outcome is due to...
Tipo: Presentation Palavras-chave: Biotechnology; Cancer; Genetics & Genomics; Molecular Cell Biology; Pharmacology; Bioinformatics.
Ano: 2010 URL: http://precedings.nature.com/documents/5343/version/1
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