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LIPID MAPS structure database

The Lipid MAPS Structure Database (LMSD) is a relational database containing structures and annotations of biologically relevant lipids. As of the mid-2015, LMSD contains over 40,360 unique lipid structures and is the largest public database in the world specifically for lipids. The structures of lipids in the database are from the following sources [6]  [Pg.122]

The LMSD is publicly available at www.lipidmaps.org/data/structure/. [Pg.123]

LMSD has the following distinct features in comparison to other existing lipid databases such as LipidBank  [Pg.123]

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 substmcture 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. [Pg.123]

Taken together, LMSD developed by the Lipid MAPS consortium contains a large body of lipid information and a suite of tools in providing vital conformity in lipid nomenclature and structural analysis. LMSD should play an important role in advancement of lipidomics research. [Pg.123]


Sud M, Fahy E, Cotter D, Brown A, Dennis EA, Glass CK, et al. LMSD LIPID MAPS structure database. Nucleic Acids Res. 2007 35 D527-D532. [Pg.932]

A comprehensive classification system for lipids with broad support in the lipid research community can be found at the Lipid Maps Structure Database (www. Upidmaps.org). The Lipid Maps Structure Database currently catalogs over 10,000 structures. [Pg.37]

Sud M, Fahy E, Cotter D, et al. LMSD LIPID MAPS structure database. Nucleic Acids Res. 2007 35 D527-D532. Tajima Y, Ishikawa M, Maekawa K, et al. Lipidomic analysis of brain tissues and plasma in a mouse model expressing mutated human amyloid precursor protein/tau for Alzheimer s disease. Lipids Health Dis. 2013 12 68. Woods AS, Jackson SN. Brain tissue lipidomics direct probing using matrix-assisted laser desorption/ ionization mass spectrometry. AAPS J. 2006 8(2) E391-395. [Pg.103]

The mentioned data management systems are only first steps toward comprehensive lipid databases and global lipid networks. An example for such a data bank is LIPIDMAPS (http //www.lipidmaps.org), which covers structures and annotations of biologically relevant lipids (43). The structures originate from the core laboratories of the LIPIDMAPS consortium and their partners. In this database, users can search the LIPID MAPS proteome database using either text-based or structure-based search options. In addition to LIPIDMAPS, other databases in Europe (http //www.lipidomics.net) and Japan (http //www.lipidbank.jp) have been initiated. [Pg.930]

Finally, we will identify the structure of enriched ions by using accurate mass (obtained during our standard MS experiments) and searching metabolite databases, such as METLIN [75], PubChem [76], or the lipid MAPS [77] for... [Pg.153]

The ability to search the database using structure. All the lipid structures in LMSD follow the structure drawing rules proposed by the Lipid MAPS consortium [4]. [Pg.123]


See other pages where LIPID MAPS structure database is mentioned: [Pg.122]    [Pg.145]    [Pg.497]    [Pg.206]    [Pg.248]    [Pg.87]    [Pg.122]    [Pg.145]    [Pg.497]    [Pg.206]    [Pg.248]    [Pg.87]    [Pg.375]    [Pg.129]    [Pg.240]    [Pg.414]    [Pg.354]    [Pg.139]   
See also in sourсe #XX -- [ Pg.87 ]




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