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首页> 外文期刊>Journal of Bioinformatics and Computational Biology >Use of Gene Networks for Identifying and Validating Drug Targets
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Use of Gene Networks for Identifying and Validating Drug Targets

机译:使用基因网络识别和验证药物靶标

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摘要

We propose a new method for identifying and validating drug targets by using gene networks, which are estimated from cDNA microarray gene expression profile data. We created novel gene disruption and drug response microarray gene expression profile data libraries for the purpose of drug target elucidation. We use two types of microarray gene expression profile data for estimating gene networks and then identifying drug targets. The estimated gene networks play an essential role in understanding drug response data and this information is unattainable from clustering methods, which are the standard for gene expression analysis. In the construction of gene networks, we use the Bayesian network model. We use an actual example from analysis of the Saccharomyces cerevisiae gene expression profile data to express a concrete strategy for the application of gene network information to drug discovery.
机译:我们提出了一种通过使用基因网络来鉴定和验证药物靶标的新方法,该基因网络是根据cDNA微阵列基因表达谱数据估算的。我们创建了新颖的基因破坏和药物反应微阵列基因表达谱数据库,以阐明药物靶标。我们使用两种类型的微阵列基因表达谱数据估计基因网络,然后确定药物靶标。估计的基因网络在理解药物反应数据中起着至关重要的作用,而这种信息是无法通过聚类方法获得的,聚类方法是基因表达分析的标准。在基因网络的构建中,我们使用贝叶斯网络模型。我们使用来自啤酒酵母基因表达谱数据分析的实际例子来表达将基因网络信息应用于药物发现的具体策略。

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