ArticleiScience2023
Modern drug discovery using ethnobotany: A large-scale cross-cultural analysis of traditional medicine reveals common therapeutic uses.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Phytochemical Screening and Biological Activity of Female and Male Cones fromAntioxidants (Basel, Switzerland) · 2025Article
- Diachronic changes in local food heritage: the ethnobiology of wild foods in central Tuscany.Journal of ethnobiology and ethnomedicine · 2025Article
- Comprehensive biomedicine assessment ofOpen medicine (Warsaw, Poland) · 2025Article
- Targeting Hypoglycemic Natural Products from the Cloud Forest Plants Using Chemotaxonomic Computer-Assisted Selection.International journal of molecular sciences · 2024Article
- Natural Products Have Increased Rates of Clinical Trial Success throughout the Drug Development Process.Journal of natural products · 2024Article
- Exploring the Anti-Inflammatory and Antioxidant Potential, Metabolite Composition and Inorganic Profile ofAntioxidants (Basel, Switzerland) · 2024Article
- Dual-channel hypergraph convolutional network for predicting herb-disease associations.Briefings in bioinformatics · 2024Article
- An Update on Recent Studies Focusing on the Antioxidant Properties ofAntioxidants (Basel, Switzerland) · 2023Review
- Exploring the known chemical space of the plant kingdom: insights into taxonomic patterns, knowledge gaps, and bioactive regions.Journal of cheminformatics · 2023Article
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Authors and funding
9 authors.
Funding
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Abstract
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.
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