Leveraging biodiversity knowledge for potential phyto-therapeutic applications
Sharma, V.; Sarkar, I.N. (2013). Leveraging biodiversity knowledge for potential phyto-therapeutic applications. Journal of the American Medical Informatics Association 20(4): 668-679. https://dx.doi.org/10.1136/amiajnl-2012-001445
In: Journal of the American Medical Informatics Association. OXFORD UNIV PRESS: Oxford. ISSN 1067-5027; e-ISSN 1527-974X, more
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| Author keywords |
biodiversity informatics, bioprospecting, medicinal plants, clinical trials |
| Abstract |
Objective: To identify and highlight the feasibility, challenges, and advantages of providing a cross-domain pipeline that can link relevant biodiversity information for phyto-therapeutic assessment. Materials and methods: A public repository of clinical trials information (ClinicalTrials.gov) was explored to determine the state of plant-based interventions under investigation. Results: The results showed that ∼15% of drug interventions in ClinicalTrials.gov were potentially plant related, with about 60% of them clustered within 10 taxonomic families. Further analysis of these plant-based interventions identified ∼3.7% of associated plant species as endangered as determined from the International Union for the Conservation of Nature Red List.Discussion: The diversity of the plant kingdom has provided human civilization with life-sustaining food and medicine for centuries. There has been renewed interest in the investigation of botanicals as sources of new drugs, building on traditional knowledge about plant-based medicines. However, data about the plant-based biodiversity potential for therapeutics (eg, based on genetic or chemical information) are generally scattered across a range of sources and isolated from contemporary pharmacological resources. This study explored the potential to bridge biodiversity and biomedical knowledge sources. Conclusions: The findings from this feasibility study suggest that there is an opportunity for developing plant-based drugs and further highlight taxonomic relationships between plants that may be rich sources for bioprospecting. |
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