FatPlants: a comprehensive information system for lipid-related genes and metabolic pathways in plants.
Chunhui XuTrey ShawSai Akhil ChoppararuYiwei LuShaik Naveed FarooqYongfang QinMatt HudsonBrock WeekleyMichael FisherFei HeJose Roberto Da Silva NascimentoNicholas WergelesTrupti JoshiPhilip D BatesAbraham J KooDoug K AllenEdgar B CahoonJay J ThelenDong XuPublished in: Database : the journal of biological databases and curation (2024)
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/.
Keyphrases
- fatty acid
- machine learning
- arabidopsis thaliana
- health information
- protein protein
- big data
- genome wide
- electronic health record
- systematic review
- healthcare
- binding protein
- climate change
- adverse drug
- small molecule
- high throughput
- artificial intelligence
- dna methylation
- genome wide identification
- gene expression
- social media
- transcription factor
- drug induced
- genome wide analysis