Ganter Brigitte, Zidek Nadine, Hewitt Philip R, Müller Dieter, Vladimirova Antoaneta
Ingenuity Systems, 1700 Seaport Blvd, Redwood City, CA 94063, USA.
Pharmacogenomics. 2008 Jan;9(1):35-54. doi: 10.2217/14622416.9.1.35.
The pharmaceutical industry has begun to leverage a range of new technologies (proteomics, pharmacogenomics, metabolomics and molecular toxicology [e.g., toxicogenomics]) and analysis tools that are becoming increasingly integrated in the area of drug discovery and development. The approach of analyzing the vast amount of toxicogenomics data generated using molecular pathway and networks analysis tools in combination with analysis of reference data will be the main focus of this review. We will demonstrate how this combined approach can increase the understanding of the molecular mechanisms that lead to chemical-induced toxicity and application of this knowledge to compound risk assessment. We will provide an example of the insights achieved through a molecular toxicology analysis based on the well-known hepatotoxicant lipopolysaccharide to illustrate the utility of these new tools in the analysis of complex data sets, both in vivo and in vitro. The ultimate objective is a better lead selection process that improves the chances for success across the different stages of drug discovery and development.
制药行业已开始利用一系列新技术(蛋白质组学、药物基因组学、代谢组学和分子毒理学[如毒理基因组学])以及分析工具,这些技术和工具在药物发现与开发领域正日益融合。使用分子途径和网络分析工具结合参考数据分析所产生的大量毒理基因组学数据的分析方法将是本综述的主要重点。我们将展示这种联合方法如何能够增进对导致化学诱导毒性的分子机制的理解,以及如何将这些知识应用于化合物风险评估。我们将提供一个基于著名肝毒素脂多糖的分子毒理学分析所获得见解的示例,以说明这些新工具在体内和体外复杂数据集分析中的效用。最终目标是实现更好的先导化合物筛选过程,提高药物发现与开发不同阶段的成功几率。