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FatPlants: a comprehensive information system for lipid-related genes and metabolic pathways in plants.

Authors :
Xu C
Shaw T
Choppararu SA
Lu Y
Farooq SN
Qin Y
Hudson M
Weekley B
Fisher M
He F
Da Silva Nascimento JR
Wergeles N
Joshi T
Bates PD
Koo AJ
Allen DK
Cahoon EB
Thelen JJ
Xu D
Source :
Database : the journal of biological databases and curation [Database (Oxford)] 2024 Aug 05; Vol. 2024.
Publication Year :
2024

Abstract

FatPlants, an open-access, web-based database, consolidates data, annotations, analysis results, and visualizations of lipid-related genes, proteins, and metabolic pathways in plants. Serving as a minable resource, FatPlants offers a user-friendly interface for facilitating studies into the regulation of plant lipid metabolism and supporting breeding efforts aimed at increasing crop oil content. This web resource, developed using data derived from our own research, curated from public resources, and gleaned from academic literature, comprises information on known fatty-acid-related proteins, genes, and pathways in multiple plants, with an emphasis on Glycine max, Arabidopsis thaliana, and Camelina sativa. Furthermore, the platform includes machine-learning based methods and navigation tools designed to aid in characterizing metabolic pathways and protein interactions. Comprehensive gene and protein information cards, a Basic Local Alignment Search Tool search function, similar structure search capacities from AphaFold, and ChatGPT-based query for protein information are additional features. Database URL: https://www.fatplants.net/.<br /> (© The Author(s) 2024. Published by Oxford University Press.)

Details

Language :
English
ISSN :
1758-0463
Volume :
2024
Database :
MEDLINE
Journal :
Database : the journal of biological databases and curation
Publication Type :
Academic Journal
Accession number :
39104285
Full Text :
https://doi.org/10.1093/database/baae074