Aliment to Bodily Condition knowledgebase (ABCkb)
Aliment to Bodily Condition knowledgebase (ABCkb) provides an integrated graph database linking plant-derived products to human genes, pathways, and specific health indications to elucidate molecular mechanisms underlying diet-related health outcomes.
Key Features:
- Stepwise mapping: Establishes explicit links from plants to plant-derived products, then to human genes, pathways, and specific health indications.
- Data integration: Consolidates data from 11 curated sources to support structured relationships between botanical entities and human biology.
- Literature-derived relationships: Incorporates relationships extracted from Medline abstracts.
- Graph database: Organizes entities and relationships within a graph database framework to support complex queries and analyses.
- Containerized deployment: Provides a Docker container for packaging the computational resource.
Scientific Applications:
- Hypothesis generation: Enables generation of nutritive hypotheses linking plant phytochemicals to molecular mechanisms in humans.
- Diet-related disease research: Supports investigation of chronic diet-related diseases, including obesity and type 2 diabetes.
- Dietary and agricultural guidance research: Informs research that can connect dietary components to recommendations and agricultural practices.
- Phytochemical–biology exploration: Facilitates exploration of connections between plant phytochemicals and their effects on human genes and pathways.
Methodology:
Consolidates data from 11 curated sources and relationships extracted from Medline abstracts, and organizes the aggregated information within a graph database; the resource is packaged in a Docker container.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, workflow
- Programming Languages:
- JavaScript, Python
- Added:
- 6/14/2021
- Last Updated:
- 8/9/2021
Operations
Publications
Trautman A, Linchangco R, Walstead R, Jay JJ, Brouwer C. The Aliment to Bodily Condition knowledgebase (ABCkb): A database connecting plants and human health. Unknown Journal. 2021. doi:10.1101/2021.03.20.436160.