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Techniques: Bioprospecting historical herbal texts by hunting for new leads in old tomes

  • Eric J. Buenz
  • , David J. Schnepple
  • , Brent A. Bauer
  • , Peter L. Elkin
  • , John M. Riddle
  • , Timothy J. Motley
  • Mayo Clinic Rochester, MN
  • Mayo Clinic Graduate School of Biomedical Sciences
  • North Carolina State University
  • Lewis B./Dorothy Cullman P.M.S.S.

Research output: Contribution to journalReview articlepeer-review

117 Scopus citations

Abstract

Ethnobotany has led to the identification of novel pharmacological agents but many challenges to using ethnobotany as a research tool remain. In particular, the loss of traditional knowledge together with the advent of high-throughput screening has made ethnobotanical techniques laborious and potentially unnecessary. However, historical herbal texts provide a preexisting resource that documents the traditional uses of various species as medicines. As generational losses of traditional knowledge accrue, these herbal texts become increasingly valuable. The methodology for extracting useful information contained within these resources had been cumbersome and consuming. However, the application of new bioinformatics data-mining systems to herbal texts holds great promise for identifying novel pharmacotherapeutic leads for bioactive compounds.

Original languageEnglish
Pages (from-to)494-498
Number of pages5
JournalTrends in Pharmacological Sciences
Volume25
Issue number9
DOIs
StatePublished - Sep 2004

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