Frequently Asked Questions (FAQ)
Welcome to PlantaeDB!
The initiative, originally launched as part of the 2023 Scientific Communications Session at
the University of Bucharest, has undergone continual evolution by integrating additional
databases and contributions. It has now culminated as the subject of my final thesis for a
Master's degree in Bioinformatics (due for presenting in July 2024).
PlantaeDB is a comprehensive database dedicated to the Kingdom Plantae. It offers scientifically-backed information on plant uses, active compounds, and taxonomy. Our platform is integrated with trusted sources and encourages community contributions. Whether you're a botanist, a gardener, or a plant enthusiast, PlantaeDB aims to be your go-to resource for all things plant-related.
PlantaeDB is a comprehensive database dedicated to the Kingdom Plantae. It offers scientifically-backed information on plant uses, active compounds, and taxonomy. Our platform is integrated with trusted sources and encourages community contributions. Whether you're a botanist, a gardener, or a plant enthusiast, PlantaeDB aims to be your go-to resource for all things plant-related.
We have a dedicated page for this very question.
Please click here to see it.
Please click here to see it.
Source | Version/Release | What for |
---|---|---|
World Flora Online (WFO) Data | v.2023.03 | Plantae Taxonomic Backbone |
Kew Gardens | 2023-10-04 | Plants Distribution Data |
CMAUP (Collective Molecular Activities of Useful Plants) | v1.0 | Plant-Compounds pairs |
World Geographical Scheme for Recording Plant Distributions (WGSRPD) | 2007-05-08 | Geographical mappings for plotting distribution maps |
LOTUS - Natural Products | February 2021 | Plant-Compounds pairs |
ClassyFire WebService and mirror | N/A | Taxonomy for Compounds |
NCBI APIs | N/A | Genomic data, Compound data, Compound synonyms, PMC/PM articles |
WikiData | N/A | Links between different databases |
Super-PRED | v3 | Target predictions |
Name | Citation | What for |
---|---|---|
3Dmol.js | Nicholas Rego, David Koes, 3Dmol.js: molecular visualization with WebGL, Bioinformatics, Volume 31, Issue 8, April 2015, Pages 1322–1324, https://doi.org/10.1093/bioinformatics/btu829 | MOL Viewer for Compounds page (example: Laudanine) |