LMSD: LIPID MAPS structure database

By Manish Sud, E. Fahy, Dawn Cotter, Alex Brown, Edward A. Dennis, Christopher K. Glass, Alfred H. Merrill Jr., R. Murphy, C. Raetz, David W. Russell and 1 more. Nucleic Acids Res., 2006

1,286 citations recorded by the source corpus.

The LIPID MAPS Structure Database (LMSD) is a relational database encompassing structures and annotations of biologically relevant lipids. Structures of lipids in the database come from four sources: (i) LIPID MAPS Consortium's core laboratories and partners; (ii) lipids identified by LIPID MAPS experiments; (iii) computationally generated structures for appropriate lipid classes; (iv) biologically relevant lipids manually curated from LIPID BANK, LIPIDAT and other public sources. All the lipid structures in LMSD are drawn in a consistent fashion. In addition to a classification-based retrieval of lipids, users can search LMSD using either text-based or structure-based search options. The text-based search implementation supports data retrieval by any combination of these data fields: LIPID MAPS ID, systematic or common name, mass, formula, category, main class, and subclass data fields. The structure-based search, in conjunction with optional data fields, provides the capability to perform a substructure search or exact match for the structure drawn by the user. Search results, in addition to structure and annotations, also include relevant links to external databases. The LMSD is publicly available at

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/d03cab6781985ad3f62aec52048a7e15ee2dee61

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Citations in the corpus

metaX: a flexible and comprehensive software for processing metabolomics data (2017, methodology): “Currently, metaX provides a function for metabolite identification based on the Human Metabolome Data-base (HMDB) [31], KEGG [32, 33], MassBank [34], Pub-Chem [35], LIPID MAPS [36], MetaCyc [37] and PlantCyc (www.plantcyc.org).”
MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data (2012, background): “org, (14)] and more general databases such as KNApSAck (http:// kanaya.”
ChEBI: a database and ontology for chemical entities of biological interest (2007, background): “KEGG DRUG KEGG GLYCAN LIPID MAPS http://www.lipidmaps.org/ ( 15 ) MolBase http://winter.group.shef.ac.uk/ molbase/”
A consensus yeast metabolic network reconstruction obtained from a community approach to systems biology (2008, background): “This has led to the underrepresentation of lipids, where there are many combinatorial issue”
Membrane lipids: where they are and how they behave (2008, background): “jpg" NDATA ITEM> ]> From the ongoing cataloguing of lipid structures (lipidomics), it is clear that eukaryotic cells invest substantial resources in generating thousands of different lipid”
Discovery of a class of endogenous mammalian lipids with anti-diabetic and anti-inflammatory effects (2014, background): “, 2005) and Lipid Maps (Sud et al., 2007) metabolite databases.”
HMDB 4.0: the human metabolome database for 2018 (2017, background): “(8), MetaboLights (9), the Metabolomics Workbench (10), Lipid Maps (11) and the HMDB (12).”
Fatty acids of microalgae: diversity and applications (2021, methodology): “Harnessing the power of new sensitive analytical methods, such as gas– liquid chromatography flame ionisation detection or mass spectrometry, promotes the growth of information about FAs (Sud et al. 2007; de Carvalho and Caramujo 2018; Gong and Miao 2019; Barone et al. 2020).”
Metabolomics Workbench: An international repository for metabolomics data and metadata, metabolite standards, protocols, tutorials and training, and analysis tools (2015, methodology): “The metabolite structures were collected mainly from public repositories such as LIPID MAPS (22) (www.lipidmaps.org), ChEBI (23) (www.ebi.ac.uk/chebi), HMDB (11) (www. hmdb.ca), BMRB (10) (www.bmrb.wisc.edu), PubChem (24) (http://pubchem.ncbi.nlm.nih.gov) and KEGG (25) (www.genome.jp/kegg/).”
LipidBlast - in-silico tandem mass spectrometry database for lipid identification (2013, methodology): “Computer-Programs and tools and databases [24, 104, 218-260]”
Lipid classification, structures and tools. (2011, methodology): “This classification system has been the foundation for the LIPID MAPS Structure Database (LMSD) [11], which is discussed in more detail below.”