mldlproject / 2019-PlantDB_review

Source code and data of the paper entitled "Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery"

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Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery

T-H Nguyen-Vo, L. Nguyen, N. Do, T-N. Nguyen, K. Trinh, H. Cao*, and L. Le

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Motivation

Traditional herbal medicine has been an inseparable part of the traditional medical science in many countries throughout history. Nowadays, the popularity of using herbal medicines in daily life, as well as clinical practices, has gradually expanded to numerous Western countries with positive impacts and acceptance. The continuous growth of the herbal consumption market has promoted standardization and modernization of herbal-derived products with present pharmacological criteria. To store and extensively share this knowledge with the community and serve scientific research, various herbal metabolite databases have been developed with diverse focuses under the support of modern advances. The advent of these databases has contributed to accelerating research on pharmaceuticals of natural origins. In the scope of this study, we critically review 30 herbal metabolite databases, discuss different related perspectives, and provide a comparative analysis of 18 accessible noncommercial ones. We hope to provide you with fundamental information and multidimensional perspectives from herbal medicines to modern drug discovery.

Results

In the scope of this study, we critically review 30 herbal metabolite databases, discuss different related perspectives, and provide a comparative analysis of 18 accessible noncommercial ones. We hope to provide you with fundamental information and multidimensional perspectives from herbal medicines to modern drug discovery.

Availability and implementation

Source code and data are available on GitHub

Citation

Thanh-Hoang Nguyen-Vo, Loc Nguyen, Nguyet Do, Thien-Ngan Nguyen, Khang Trinh, Hung Cao, and Ly Le. Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery. Journal of Chemical Information and Modeling (2020), 60 (3), 1101-1110. DOI: 10.1021/acs.jcim.9b00826

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Disclimer

Authors provide downloaded databases to users as data sources for future studies in natural drug discovery and related fields. The data were downloaded from open-sources for statistical analysis in the published paper entitled "Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery". When using these databases, please cite the original works of the database developers besides ours.

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Source code and data of the paper entitled "Plant Metabolite Databases: From Herbal Medicines to Modern Drug Discovery"