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

被引:1
|
作者
Xu, Chunhui [1 ,2 ]
Shaw, Trey [2 ,3 ]
Choppararu, Sai Akhil [2 ,3 ]
Lu, Yiwei [2 ,3 ]
Farooq, Shaik Naveed [2 ,3 ]
Qin, Yongfang [2 ,3 ]
Hudson, Matt [2 ,3 ]
Weekley, Brock [2 ,3 ]
Fisher, Michael [2 ,3 ]
He, Fei [2 ,3 ]
Nascimento, Jose Roberto Da Silva [2 ,4 ]
Wergeles, Nicholas [2 ,3 ]
Joshi, Trupti [1 ,2 ,3 ,5 ]
Bates, Philip D. [6 ]
Koo, Abraham J. [4 ]
Allen, Doug K. [7 ,8 ]
Cahoon, Edgar B. [9 ,10 ]
Thelen, Jay J. [2 ,4 ]
Xu, Dong [1 ,2 ,3 ]
机构
[1] Univ Missouri, Inst Data Sci & Informat, 22 Heinkel Bldg, Columbia, MO 65211 USA
[2] Univ Missouri, Christopher S Bond Life Sci Ctr, 1201 Rollins St, Columbia, MO 65211 USA
[3] Univ Missouri, Dept Elect Engn & Comp Sci, 201 Lafferre Hall,416 S 6th St, Columbia, MO 65201 USA
[4] Univ Missouri, Dept Biochem, Schweitzer Hall,117,503 S College Ave, Columbia, MO 65211 USA
[5] Univ Missouri, Dept Biomed Informat Biostat & Med Epidemiol, CE707,Clin Support & Educ Bldg,5 Hosp Dr, Columbia, MO USA
[6] Washington State Univ, Inst Biol Chem, 101D Plant Sci Bldg, Pullman, WA 99164 USA
[7] ARS, USDA, 975 N Warson Rd, St Louis, MO 63132 USA
[8] Donald Danforth Plant Sci Ctr, 975 N Warson Rd, St Louis, MO 63132 USA
[9] Univ Nebraska, Dept Biochem, 1901 Vine St, Lincoln, NE 68588 USA
[10] Univ Nebraska, Ctr Plant Sci Innovat, 1901 Vine St, Lincoln, NE 68588 USA
基金
美国国家科学基金会;
关键词
FATTY-ACID BIOSYNTHESIS; PROTEIN; OIL; FLUX; DATABASE; TOOLS;
D O I
10.1093/database/baae074
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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/
引用
收藏
页数:10
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