Domingo-Fernández Daniel, Gadiya Yojana, Mubeen Sarah, Bollerman Thomas Joseph, Healy Matthew D, Chanana Shaurya, Sadovsky Rotem Gura, Healey David, Colluru Viswa
Enveda Biosciences, Boulder, CO, USA.
iScience. 2023 Aug 25;26(9):107729. doi: 10.1016/j.isci.2023.107729. eCollection 2023 Sep 15.
For millennia, numerous cultures and civilizations have relied on traditional remedies derived from plants to treat a wide range of conditions and ailments. Here, we systematically analyzed ethnobotanical patterns across taxonomically related plants, demonstrating that congeneric medicinal plants are more likely to be used for treating similar indications. Next, we reconstructed the phytochemical space covered by medicinal plants to reveal that (i) taxonomically related medicinal plants cover a similar phytochemical space, and (ii) chemical similarity correlates with similar therapeutic usage. Lastly, we present several case scenarios illustrating how mining this information can be used for drug discovery applications, including: (i) investigating taxonomic hotspots around particular indications, (ii) exploring shared patterns of congeneric plants located in different geographic areas, but which have been used to treat the same indications, and (iii) showing the concordance between ethnobotanical patterns among non-taxonomically related plants and the presence of shared bioactive phytochemicals.
数千年来,众多文化和文明都依赖源自植物的传统疗法来治疗各种各样的病症和疾病。在此,我们系统地分析了分类学上相关植物的民族植物学模式,证明同属药用植物更有可能用于治疗相似的病症。接下来,我们重建了药用植物所涵盖的植物化学空间,以揭示:(i)分类学上相关的药用植物涵盖相似的植物化学空间,以及(ii)化学相似性与相似的治疗用途相关。最后,我们展示了几个案例,说明挖掘这些信息如何用于药物发现应用,包括:(i)研究特定病症周围的分类学热点,(ii)探索位于不同地理区域但已用于治疗相同病症的同属植物的共同模式,以及(iii)展示非分类学相关植物之间的民族植物学模式与共享生物活性植物化学物质的存在之间的一致性。