生物测定网络的探索性分析与治疗发现的意义

Jintao Zhang, G. Lushington, Jun Huan
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引用次数: 0

摘要

尽管有大量的投资增长和技术发展,但在过去十年中,药物发现和开发出现了明显的瓶颈。2004年,美国国立卫生研究院启动了分子文库计划(MLI),以扩大潜在药物靶点的资源库,特别是从人类基因组中“不可药物”的部分,以及从更广泛的药物类型(如小分子)中寻找潜在的候选药物。本文运用网络生物学的概念,将MLI数据与DrugBank、UniHI等生物数据库进行整合,并对MLI靶蛋白作为新药靶点的潜力进行了评价。我们的分析为MLI数据作为基础化学生物学研究和未来治疗发现的资源的价值提供了一些衡量标准。
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Exploratory analysis of the BioAssay Network with implications to therapeutic discovery
Despite intense investment growth and technology development, there is an observed bottleneck in drug discovery and development over the past decade. NIH started the Molecular Libraries Initiative (MLI) in 2004 to enlarge the pool for potential drug targets, especially from the “undruggable” part of human genome, and potential drug candidates from much broader types of drug-like small molecules. In this paper we used the concepts of network biology to integrate MLI data with other biological databases such as DrugBank and UniHI, and evaluated the potential of MLI target proteins being new drug targets. Our analysis provided some measures of the value of the MLI data as a resource for both basic chemical biology research and future therapeutic discovery.
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