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首页> 外文期刊>Journal of Ethnopharmacology: An Interdisciplinary Journal Devoted to Bioscientific Research on Indigenous Drugs >Systems pharmacology strategies for drug discovery and combination with applications to cardiovascular diseases
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Systems pharmacology strategies for drug discovery and combination with applications to cardiovascular diseases

机译:用于药物发现的系统药理策略以及与心血管疾病的结合应用

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Ethnopharmacological relevance Multi-target therapeutics is a promising paradigm for drug discovery which is expected to produce greater levels of efficacy with fewer adverse effects and toxicity than monotherapies. Medical herbs featuring multi-components and multi-targets may serve as valuable resources for network-based multi-target drug discovery. Materials and methods In this study, we report an integrated systems pharmacology platform for drug discovery and combination, with a typical example applied to herbal medicines in the treatment of cardiovascular diseases. Results First, a disease-specific drug-target network was constructed and examined at systems level to capture the key disease-relevant biology for discovery of multi-targeted agents. Second, considering an integration of disease complexity and multilevel connectivity, a comprehensive database of literature-reported associations, chemicals and pharmacology for herbal medicines was designed. Third, a large-scale systematic analysis combining pharmacokinetics, chemogenomics, pharmacology and systems biology data through computational methods was performed and validated experimentally, which results in a superior output of information for systematic drug design strategies for complex diseases. Conclusions This strategy integrating different types of technologies is expected to help create new opportunities for drug discovery and combination.
机译:民族药理学相关性多靶点疗法是药物发现的一种有希望的范例,与单一疗法相比,有望产生更高水平的功效,更少的不良反应和毒性。具有多组分和多靶点的药用草药可能会成为基于网络的多靶点药物发现的宝贵资源。材料和方法在这项研究中,我们报告了一个用于药物发现和组合的集成系统药理平台,其中一个典型实例适用于治疗心血管疾病的草药。结果首先,构建了疾病特异性药物靶标网络并在系统级别进行了检查,以捕获与疾病相关的关键生物学,从而发现了多靶标药物。其次,考虑到疾病复杂性和多层次连通性的整合,设计了一个综合性数据库,该数据库包含文献报告的协会,草药的化学药品和药理学。第三,通过计算方法对药代动力学,化学基因组学,药理学和系统生物学数据进行了大规模的系统分析,并进行了实验验证,从而为复杂疾病的系统药物设计策略提供了出色的信息输出。结论整合不同类型技术的这种策略有望为药物发现和组合创造新的机会。

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