ArticleBioinformatics (Oxford, England)2018
LipidPedia: a comprehensive lipid knowledgebase.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 43 citations in OpenAlex.
- Article
- LipidFun: a database of lipid functions.Bioinformatics (Oxford, England) · 2025Article
- Overview and limitations of database in global traditional medicines: A narrative review.Acta pharmacologica Sinica · 2025Review
- Phospholipid biosynthesis regulation for improving pigment production byApplied and environmental microbiology · 2024Article
- Hallmarks of the metabolic secretome.Trends in endocrinology and metabolism: TEM · 2024Review
- Isomer-Resolved Mass Spectrometry Imaging of Acidic Phospholipids.Journal of the American Society for Mass Spectrometry · 2023Article
- Integrative metabolomics science in Alzheimer's disease: Relevance and future perspectives.Ageing research reviews · 2023Review
- Regulation mechanism of lipids for extracellular yellow pigments production by Monascus purpureus BWY-5.Applied microbiology and biotechnology · 2023Article
- DBLiPro: A Database for Lipids and Proteins in Human Lipid Metabolism.Phenomics (Cham, Switzerland) · 2023Article
- Molecular Biophysics of Class A G Protein Coupled Receptors-Lipids Interactome at a Glance-Highlights from the ABiomolecules · 2023Review
- Software and Computational Tools for LC-MS-Based Epilipidomics: Challenges and Solutions.Analytical chemistry · 2023Review
- Article
- Limits of temperature adaptation and thermopreferendum.Cell & bioscience · 2021Article
- Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview.Biomolecules · 2021Review
- Methods of the Analysis of Oxylipins in Biological Samples.Molecules (Basel, Switzerland) · 2020Review
- Human Breathomics Database.Database : the journal of biological databases and curation · 2020Article
- The Fusion of Lipid and DNA Nanotechnology.Genes · 2019Review
- Emerging Diversity in Lipid-Protein Interactions.Chemical reviews · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.