天然产物因其多样化的生物活性和复杂多样的结构而成为药物发现的宝库，特别是在感染、炎症和癌症领域。慢性炎症与许多疾病密切相关，包括癌症和神经退行性疾病等复杂疾病。改进天然产物的靶标识别有助于阐明其作用机制和临床进展。它还有助于发现新的药物靶标并消除不需要的靶标，从而显着提高药物发现和开发的生产力。此外，被认为有望治疗复杂疾病的多药理学策略的兴起将进一步增加对靶标反卷积的需求。这篇综述强调了过去 5 年在慢性炎症背景下识别天然产物靶点 (NP) 的策略。这些策略包括用于早期靶标发现和化合物结合位点预测的计算方法、用于靶标描绘的蛋白质组学驱动方法以及用于靶标验证和综合机制探索的实验生物学技术。© 2024 英国药理学会。

Natural products are a treasure trove for drug discovery, especially in the areas of infection, inflammation and cancer, due to their diverse bioactivities and complex, and varied structures. Chronic inflammation is closely related to many diseases, including complex diseases such as cancer and neurodegeneration. Improving target identification for natural products contributes to elucidating their mechanism of action and clinical progress. It also facilitates the discovery of novel druggable targets and the elimination of undesirable ones, thereby significantly enhancing the productivity of drug discovery and development. Moreover, the rise of polypharmacological strategies, considered promising for the treatment of complex diseases, will further increase the demand for target deconvolution. This review underscores strategies for identifying natural product targets (NPs) in the context of chronic inflammation over the past 5 years. These strategies encompass computational methodologies for early target discovery and the anticipation of compound binding sites, proteomics-driven approaches for target delineation and experimental biology techniques for target validation and comprehensive mechanistic exploration.© 2024 British Pharmacological Society.