Boran Aislyn D W, Iyengar Ravi
Mount Sinai School of Medicine, Department of Pharmacology and Systems Therapeutics, One Gustave L Levy Place, New York, NY 10029, USA.
Curr Opin Drug Discov Devel. 2010 May;13(3):297-309.
Systems biology uses experimental and computational approaches to characterize large sample populations systematically, process large datasets, examine and analyze regulatory networks, and model reactions to determine how components are joined to form functional systems. Systems biology technologies, data and knowledge are particularly useful in understanding disease processes and drug actions. An important area of integration between systems biology and drug discovery is the concept of polypharmacology: the treatment of diseases by modulating more than one target. Polypharmacology for complex diseases is likely to involve multiple drugs acting on distinct targets that are part of a network regulating physiological responses. This review discusses the current state of the systems-level understanding of diseases and both the therapeutic and adverse mechanisms of drug actions. Drug-target networks can be used to identify multiple targets and to determine suitable combinations of drug targets or drugs. Thus, the discovery of new drug therapies for complex diseases may be greatly aided by systems biology.
系统生物学采用实验和计算方法来系统地表征大样本群体,处理大型数据集,检查和分析调控网络,并对反应进行建模,以确定各组成部分如何结合形成功能系统。系统生物学技术、数据和知识在理解疾病过程和药物作用方面特别有用。系统生物学与药物发现之间整合的一个重要领域是多药理学概念:通过调节多个靶点来治疗疾病。针对复杂疾病的多药理学可能涉及作用于不同靶点的多种药物,这些靶点是调节生理反应的网络的一部分。本综述讨论了疾病系统层面理解的现状以及药物作用的治疗和不良反应机制。药物 - 靶点网络可用于识别多个靶点,并确定药物靶点或药物的合适组合。因此,系统生物学可能极大地有助于发现针对复杂疾病的新药物疗法。