精密医学
系统生物学
生物网络
背景(考古学)
组学
系统医学
系统药理学
鉴定(生物学)
药物发现
计算机科学
个性化医疗
计算生物学
数据集成
药物反应
数据科学
生物信息学
药品
生物
数据挖掘
药理学
古生物学
植物
遗传学
作者
Beste Turanlı,Kübra Karagoz,Gizem Gulfidan,Raghu Sinha,Adil Mardinoğlu,Kazım Yalçın Arğa
标识
DOI:10.2174/1381612824666181106095959
摘要
A complex framework of interacting partners including genetic, proteomic, and metabolic networks that cooperate to mediate specific functional phenotypes drives human biological processes. Recent technological and analytical advances in "omic" sciences allow the identification and elucidation of reprogramming biological functions in response to perturbations in cells and tissues. To understand such a complex system, biological networks are generated to reduce the complexity into relatively simple models, and the integration of these molecular networks from different perspectives is implemented for a holistic interpretation of the entire system. Ultimately, network-based methods will effectively facilitate the development and improvement of precision medicine by directing therapies based on the underlying biology of a given patient's disease. The goal of precision medicine is to identify novel therapeutic strategies that can be optimized for each disease type or each patient based on the underlying genetic, environmental, and lifestyle factors. Pharmaco-omics analyses based on an integration of pharmacology and various "omics" data types can be employed to develop effective treatment strategies using particular drugs and doses that are tailored to each individual. In the current review, we first present the core elements of network-based systems biology in the context of pharmaco-omics followed by integration of multi-omics data using various biological networks. Next, we provide an opening into precise medicine and drug targeting based on network approaches. Lastly, we review the current significant efforts as well as the accomplishments and limitations in precise drug targeting with the utility of network-based guided drug discovery methods for effective treatment of breast cancer.
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