Institute for Data Science and Informatics, University of Missouri, 22 Heinkel Building, Columbia, MO 65211, United States.
Christopher S. Bond Life Sciences Center, University of Missouri, 1201 Rollins St, Columbia, MO 65211, United States.
Database (Oxford). 2024 Aug 5;2024. doi: 10.1093/database/baae074.
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/.
FatPlants 是一个开放获取的基于网络的数据库,它整合了植物中与脂质相关的基因、蛋白质和代谢途径的数据、注释、分析结果和可视化内容。作为一个可挖掘的资源,FatPlants 提供了一个用户友好的界面,方便研究人员研究植物脂质代谢的调控,并支持旨在提高作物油含量的育种工作。这个网络资源是使用我们自己的研究数据、从公共资源中整理以及从学术文献中收集的数据开发的,包含了多种植物中已知的脂肪酸相关蛋白质、基因和途径的信息,重点是大豆、拟南芥和荠蓝。此外,该平台还包括基于机器学习的方法和导航工具,旨在帮助描述代谢途径和蛋白质相互作用。综合的基因和蛋白质信息卡、BLAST 搜索功能、来自 AlphaFold 的相似结构搜索能力,以及基于 ChatGPT 的蛋白质信息查询都是其附加功能。数据库网址:https://www.fatplants.net/。