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      LMSD: LIPID MAPS structure database

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          Abstract

          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

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          Most cited references17

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          LMPD: LIPID MAPS proteome database

          The LIPID MAPS Proteome Database (LMPD) is an object-relational database of lipid-associated protein sequences and annotations. The initial release contains 2959 records, representing human and mouse proteins involved in lipid metabolism. UniProt IDs were obtained based on keyword search of KEGG and GO databases, and this LMPD protein list was then enhanced with annotations from UniProt, EntrezGene, ENZYME, GO, KEGG and other public resources. We also assigned associations with general lipid categories, based on GO and KEGG annotations. Users may search LMPD by database ID or keyword, and filter by species and/or lipid class associations; from the search results, one can then access a compilation of data relevant to each protein of interest, cross-linked to external databases. The LIPID MAPS Proteome Database (LMPD) is publicly available from the LIPID MAPS Consortium website (). The direct URL is .
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            LIPIDAT: a database of lipid phase transition temperatures and enthalpy changes. DMPC data subset analysis.

            The systematic study of the mesomorphic phase properties of synthetic and biologically derived lipids began some 30 years ago. In the past decade, interest in this area has grown enormously. As a result, there exists a wealth of information on lipid phase behavior, but unfortunately these data have until now been scattered throughout the literature in a variety of books, proceedings and journals. The data have recently been compiled in a centralized database, LIPIDAT, with a view to providing ready access to the data and to the appropriate literature. LIPIDAT consists of a tabulation of all known mesomorphic and polymorphic phase transition temperatures and enthalpy changes for synthetic and biologically-derived lipids in the dry and in the partially and fully hydrated states. Also included is the effect of pH, and of salt and metal ion concentration and other additives such as proteins, drugs, etc., on the thermodynamic values. The methods used in making the measurements and the experimental conditions are reported. Bibliographic information includes comprehensive literature referencing and list of authors, but does not at the present time include article titles. As of this writing, the database is current through June, 1990 and is approaching 10,000 records in length. Each record contains 28 fields. In this paper we report the contents and present an analysis of LIPIDAT as it refers to fully hydrated 1,2-dimyristoyl-sn-glycero-3-phosphocholine (DMPC). This database subset represents about 7% of all LIPIDAT records. It includes data collected over a 23-year period from 1967 to 1989 and consists of 702 records obtained from 336 articles in 55 different journals. The number of records per year rises steadily beginning in 1971, reaches a maximum of 89 records/year in 1977 and remains relatively constant at 60-70 records/year in the succeeding period. Journals making the greatest contribution to the DMPC subset include Biochimica et Biophysica Acta, Biochemistry, Chemistry and Physics of Lipids and the Biophysical Journal. These four journals account for 71% of the total records in the database subset. The analysis shows that differential scanning calorimetry, electron spin resonance, fluorescence, nuclear magnetic resonance and Raman spectroscopy are the methods most commonly used for DMPC transition temperature determination. An interesting pattern emerges as to the place in time the different methods assume or loose popularity.(ABSTRACT TRUNCATED AT 400 WORDS)
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              The nomenclature of lipids (Recommendations 1976) IUPAC-IUB Commission on Biochemical Nomenclature.

              (1978)
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                January 2007
                10 November 2006
                10 November 2006
                : 35
                : Database issue
                : D527-D532
                Affiliations
                1LIPID MAPS Bioinformatics Core, San Diego Supercomputer Center San Diego, La Jolla, CA 92093, USA
                2Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093, USA
                3Department of Pharmacology, University of California San Diego, La Jolla, CA 92093, USA
                4Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA 92093, USA
                5Department of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA
                6Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093, USA
                7Department of Pharmacology, Vanderbilt University Medical Center Nashville, TN 37232, USA
                8School of Biology, Georgia Institute of Technology Atlanta, GA 30332, USA
                9University of Colorado Health Sciences Center, Aurora CO 80045, USA
                10Department of Biochemistry, Duke University Medical Center Durham, NC 27710, USA
                11Department of Molecular Genetics, University of Texas Southwestern Medical Center Dallas, TX 75390, USA
                Author notes
                *To whom correspondence should be addressed at 9500 Gilman Drive, Dept 0505, La Jolla, CA 92093-0505, USA. Tel: +1 858 822 0986; Fax: +1 858 822 3752; Email: shankar@ 123456sdsc.edu

                The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors

                Article
                10.1093/nar/gkl838
                1669719
                17098933
                3950a40e-9f6d-414d-83fc-c800ebd85bfc
                © 2006 The Author(s)

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 15 August 2006
                : 05 October 2006
                : 06 October 2006
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                Genetics
                Genetics

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