PDF(Pubmed)
Abstract：
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.
摘要：
传统的药物筛选方法通常集中在单个蛋白质靶标上，并且由于大多数疾病的多因素性质而表现出有限的效率。这是由蛋白质-蛋白质相互作用的复杂网络中的干扰而不是单基因异常引起的。解决这一限制需要全面的药物筛选策略。网络医学植根于系统生物学，为理解疾病机制提供了一个全面的框架，预防,和治疗创新。这种方法不仅探索了各种疾病之间的关联，而且量化了相互作用组网络中疾病基因与药物靶标之间的关系。从而促进药物-疾病关系的预测，并能够筛选特定复杂疾病的治疗药物。越来越多的研究支持药物筛选中基于网络的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查中的转化潜力，为未来的药物发现工作提供新的见解和坚实的基础。
