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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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Multi-scale network biology model & the model library Nature Precedings
Jianghui Xiong.
Multi-scale network biology model & the model library
Tipo: Presentation Palavras-chave: Biotechnology; Cancer; Developmental Biology; Genetics & Genomics; Immunology; Molecular Cell Biology; Pharmacology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/5778/version/1
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Novel network pharmacology methods for drug mechanism of action identification, pre-clinical drug screening and drug repositioning Nature Precedings
Jianghui Xiong.
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. Here we present two methodology innovations on network pharmacology modeling. (1) We hypothesize that the gene network associated with cancer outcome in heterogeneous patient populations could serve as a reference for identifying drug effects. We proposed a novel in vivo genetic interaction between genes as ‘synergistic outcome determination’, in a similar way to ‘synthetic lethality’. We scanned above genetic interactions based on microarray profiling for cancer prognosis, and identified a cluster of important yet epigenetically regulated gene modules. By...
Tipo: Presentation Palavras-chave: Biotechnology; Cancer; Developmental Biology; Genetics & Genomics; Immunology; Molecular Cell Biology; Neuroscience; Pharmacology; Bioinformatics.
Ano: 2011 URL: http://precedings.nature.com/documents/6455/version/1
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