Graduate Institute of Biomedical Engineering and Bioinformatics, National Taiwan University, Taipei, Taiwan.
The Metabolomics Core Laboratory, Center of Genomic Medicine, National Taiwan University, Taipei, Taiwan.
Bioinformatics. 2018 Sep 1;34(17):2982-2987. doi: 10.1093/bioinformatics/bty213.
Lipids are divided into fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, saccharolipids, sterols, prenol lipids and polyketides. Fatty acyls and glycerolipids are commonly used as energy storage, whereas glycerophospholipids, sphingolipids, sterols and saccharolipids are common used as components of cell membranes. Lipids in fatty acyls, glycerophospholipids, sphingolipids and sterols classes play important roles in signaling. Although more than 36 million lipids can be identified or computationally generated, no single lipid database provides comprehensive information on lipids. Furthermore, the complex systematic or common names of lipids make the discovery of related information challenging.
Here, we present LipidPedia, a comprehensive lipid knowledgebase. The content of this database is derived from integrating annotation data with full-text mining of 3923 lipids and more than 400 000 annotations of associated diseases, pathways, functions and locations that are essential for interpreting lipid functions and mechanisms from over 1 400 000 scientific publications. Each lipid in LipidPedia also has its own entry containing a text summary curated from the most frequently cited diseases, pathways, genes, locations, functions, lipids and experimental models in the biomedical literature. LipidPedia aims to provide an overall synopsis of lipids to summarize lipid annotations and provide a detailed listing of references for understanding complex lipid functions and mechanisms.
LipidPedia is available at http://lipidpedia.cmdm.tw.
Supplementary data are available at Bioinformatics online.
脂质分为脂肪酸、甘油脂质、甘油磷脂、鞘脂、糖脂、固醇、萜类脂和聚酮。脂肪酸和甘油脂质通常用作能量储存,而甘油磷脂、鞘脂、固醇和糖脂通常用作细胞膜的组成部分。脂肪酸、甘油磷脂、鞘脂和固醇类脂质中的脂质在信号转导中起着重要作用。尽管可以识别或计算生成超过 3600 万个脂质,但没有单个脂质数据库提供有关脂质的全面信息。此外,脂质复杂的系统名称或常见名称使得发现相关信息具有挑战性。
在这里,我们提出了 LipidPedia,这是一个全面的脂质知识库。该数据库的内容源自于整合注释数据与对 3923 种脂质和 40 多万种相关疾病、途径、功能和位置注释的全文挖掘,这些数据对于从超过 140 万篇科学出版物中解释脂质的功能和机制至关重要。脂质知识库中的每种脂质都有自己的条目,其中包含从生物医学文献中最常引用的疾病、途径、基因、位置、功能、脂质和实验模型中精选的文本摘要。LipidPedia 的目标是提供脂质的综合概述,总结脂质注释,并详细列出参考资料,以帮助理解复杂的脂质功能和机制。
LipidPedia 可在 http://lipidpedia.cmdm.tw 上获得。
补充数据可在“Bioinformatics”在线获取。