网络医学:虚拟药物筛选的潜在方法

Pharmaceuticals Pub Date : 2024-07-06 DOI:10.3390/ph17070899
Mingxuan Ma, Mei Huang, Yinting He, Jiansong Fang, Jiachao Li, Xiaohan Li, Mengchen Liu, Mei Zhou, Guozhen Cui, Qing Fan
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引用次数: 0

摘要

传统的药物筛选方法通常只针对单一蛋白质靶点,效率有限,因为大多数疾病都是由多因素引起的,是复杂的蛋白质-蛋白质相互作用网络紊乱所致,而非单一基因异常。要解决这一局限性,就需要采取全面的药物筛选策略。网络医学植根于系统生物学,为了解疾病机制、预防和治疗创新提供了一个全面的框架。这种方法不仅能探索各种疾病之间的关联,还能量化相互作用组网络中疾病基因与药物靶点之间的关系,从而促进药物与疾病关系的预测,并能筛选出治疗特定复杂疾病的药物。越来越多的研究支持基于网络的药物筛选策略的效率和实用性。这篇综述强调了网络医学在复杂疾病虚拟治疗筛选中的变革潜力,为未来的药物发现工作提供了新的见解和坚实的基础。
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Network Medicine: A Potential Approach for Virtual Drug Screening
Traditional drug screening methods typically focus on a single protein target and exhibit limited efficiency due to the multifactorial nature of most diseases, which result from disturbances within complex networks of protein–protein interactions rather than single gene abnormalities. Addressing this limitation requires a comprehensive drug screening strategy. Network medicine is rooted in systems biology and provides a comprehensive framework for understanding disease mechanisms, prevention, and therapeutic innovations. This approach not only explores the associations between various diseases but also quantifies the relationships between disease genes and drug targets within interactome networks, thus facilitating the prediction of drug–disease relationships and enabling the screening of therapeutic drugs for specific complex diseases. An increasing body of research supports the efficiency and utility of network-based strategies in drug screening. This review highlights the transformative potential of network medicine in virtual therapeutic screening for complex diseases, offering novel insights and a robust foundation for future drug discovery endeavors.
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