Department of Biology, Georgia State University, Atlanta, GA, 30303.
Incan Solutions Private Limited, Nova Scotia, Canada.
Med Res Rev. 2018 Mar;38(2):504-524. doi: 10.1002/med.21444. Epub 2017 May 16.
Modern drug discovery efforts have had mediocre success rates with increasing developmental costs, and this has encouraged pharmaceutical scientists to seek innovative approaches. Recently with the rise of the fields of systems biology and metabolomics, network pharmacology (NP) has begun to emerge as a new paradigm in drug discovery, with a focus on multiple targets and drug combinations for treating disease. Studies on the benefits of drug combinations lay the groundwork for a renewed focus on natural products in drug discovery. Natural products consist of a multitude of constituents that can act on a variety of targets in the body to induce pharmacodynamic responses that may together culminate in an additive or synergistic therapeutic effect. Although natural products cannot be patented, they can be used as starting points in the discovery of potent combination therapeutics. The optimal mix of bioactive ingredients in natural products can be determined via phenotypic screening. The targets and molecular mechanisms of action of these active ingredients can then be determined using chemical proteomics, and by implementing a reverse pharmacokinetics approach. This review article provides evidence supporting the potential benefits of natural product-based combination drugs, and summarizes drug discovery methods that can be applied to this class of drugs.
现代药物发现的努力成功率一直不高,开发成本却在不断增加,这促使制药科学家寻求创新的方法。最近,随着系统生物学和代谢组学领域的兴起,网络药理学 (NP) 开始成为药物发现的一个新范例,其重点是针对多种靶点和药物组合来治疗疾病。关于药物组合益处的研究为重新关注药物发现中的天然产物奠定了基础。天然产物包含多种成分,可作用于体内的多种靶点,引起药效反应,这些反应可能共同导致相加或协同的治疗效果。尽管天然产物不能获得专利,但它们可以作为发现有效组合疗法的起点。可以通过表型筛选来确定天然产物中生物活性成分的最佳组合。然后可以使用化学蛋白质组学来确定这些活性成分的作用靶点和分子机制,并通过实施反向药代动力学方法来确定。本文综述了支持基于天然产物的组合药物潜在益处的证据,并总结了可应用于这类药物的药物发现方法。