生物复杂性和药物发现:一个实用的系统生物学方法。

E L Berg, E J Kunkel, E Hytopoulos
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引用次数: 30

摘要

药物在临床研究中失败的最常见原因是缺乏疗效或意想不到的毒性。这些失败的原因是对药物作用的理解不足,部分原因是我们依赖于没有考虑到人类疾病生物学复杂性的药物发现技术。生物系统表现出复杂工程系统的许多特征,包括模块化、冗余、鲁棒性和涌现性。解决这些特点有助于成功设计一种用于炎症药物发现的改进的生物测定技术。这种方法被称为生物多路活性分析(BioMAP),涉及对基于新型复杂原代人细胞的测定系统产生的蛋白质数据集进行统计分析。这些系统中的化合物分析表明,可以检测和区分惊人数量的生物机制。描述了与复杂系统的行为相关的这些分析的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biological complexity and drug discovery: a practical systems biology approach.

Drugs fail in clinical studies most often from lack of efficacy or unexpected toxicities. These failures result from an inadequate understanding of drug action and follow, in part, from our dependence on drug discovery technologies that do not take into account the complexity of human disease biology. Biological systems exhibit many features of complex engineering systems, including modularity, redundancy, robustness, and emergent properties. Addressing these features has contributed to the successful design of an improved biological assay technology for inflammation drug discovery. This approach, termed Biologically Multiplexed Activity Profiling (BioMAP), involves the statistical analysis of protein datasets generated from novel complex primary human cell-based assay systems. Compound profiling in these systems has revealed that a surprisingly large number of biological mechanisms can be detected and distinguished. Features of these assays relevant to the behaviour of complex systems are described.

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