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Modern drug discovery using ethnobotany: A large-scale cross-cultural analysis of traditional medicine reveals common therapeutic uses.
Domingo-Fernández, Daniel; Gadiya, Yojana; Mubeen, Sarah; Bollerman, Thomas Joseph; Healy, Matthew D; Chanana, Shaurya; Sadovsky, Rotem Gura; Healey, David; Colluru, Viswa.
Affiliation
  • Domingo-Fernández D; Enveda Biosciences, Boulder, CO, USA.
  • Gadiya Y; Enveda Biosciences, Boulder, CO, USA.
  • Mubeen S; Enveda Biosciences, Boulder, CO, USA.
  • Bollerman TJ; Enveda Biosciences, Boulder, CO, USA.
  • Healy MD; Enveda Biosciences, Boulder, CO, USA.
  • Chanana S; Enveda Biosciences, Boulder, CO, USA.
  • Sadovsky RG; Enveda Biosciences, Boulder, CO, USA.
  • Healey D; Enveda Biosciences, Boulder, CO, USA.
  • Colluru V; Enveda Biosciences, Boulder, CO, USA.
iScience ; 26(9): 107729, 2023 Sep 15.
Article in En | MEDLINE | ID: mdl-37701812
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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: IScience Year: 2023 Document type: Article Affiliation country: United States Country of publication: United States