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LipidPedia: a comprehensive lipid knowledgebase
MOTIVATION: 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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129305/ https://www.ncbi.nlm.nih.gov/pubmed/29648583 http://dx.doi.org/10.1093/bioinformatics/bty213 |
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author | Kuo, Tien-Chueh Tseng, Yufeng Jane |
author_facet | Kuo, Tien-Chueh Tseng, Yufeng Jane |
author_sort | Kuo, Tien-Chueh |
collection | PubMed |
description | MOTIVATION: 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. RESULTS: 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. AVAILABILITY AND IMPLEMENTATION: LipidPedia is available at http://lipidpedia.cmdm.tw. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6129305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61293052018-09-12 LipidPedia: a comprehensive lipid knowledgebase Kuo, Tien-Chueh Tseng, Yufeng Jane Bioinformatics Original Papers MOTIVATION: 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. RESULTS: 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. AVAILABILITY AND IMPLEMENTATION: LipidPedia is available at http://lipidpedia.cmdm.tw. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-09-01 2018-04-10 /pmc/articles/PMC6129305/ /pubmed/29648583 http://dx.doi.org/10.1093/bioinformatics/bty213 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Papers Kuo, Tien-Chueh Tseng, Yufeng Jane LipidPedia: a comprehensive lipid knowledgebase |
title | LipidPedia: a comprehensive lipid knowledgebase |
title_full | LipidPedia: a comprehensive lipid knowledgebase |
title_fullStr | LipidPedia: a comprehensive lipid knowledgebase |
title_full_unstemmed | LipidPedia: a comprehensive lipid knowledgebase |
title_short | LipidPedia: a comprehensive lipid knowledgebase |
title_sort | lipidpedia: a comprehensive lipid knowledgebase |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6129305/ https://www.ncbi.nlm.nih.gov/pubmed/29648583 http://dx.doi.org/10.1093/bioinformatics/bty213 |
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