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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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Detalles Bibliográficos
Autores principales: Kuo, Tien-Chueh, Tseng, Yufeng Jane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
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.
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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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