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Nucleic Acids Research Advance Access originally published online on June 21, 2007
Nucleic Acids Research 2007 35(Web Server issue):W606-W612; doi:10.1093/nar/gkm324
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Nucleic Acids Research, 2007, Vol. 35, No. suppl_2 W606-W612
© 2007 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.

Articles

LIPID MAPS online tools for lipid research

Eoin Fahy1, Manish Sud1, Dawn Cotter1 and Shankar Subramaniam1,2,*

1LIPID MAPS Bioinformatics Core, San Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92037, USA and 2Departments of Bioengineering, Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA 92093, USA

*To whom correspondence should be addressed. Tel: +1 858 822 0986; Fax: +1 858 822 3752; Email: shankar{at}sdsc.edu

Received January 31, 2007. Revised March 27, 2007. Accepted April 17, 2007.

The LIPID MAPS consortium has developed a number of online tools for performing tasks such as drawing lipid structures and predicting possible structures from mass spectrometry (MS) data. A simple online interface has been developed to enable an end-user to rapidly generate a variety of lipid chemical structures, along with corresponding systematic names and ontological information. The structure-drawing tools are available for six categories of lipids: (i) fatty acyls, (ii) glycerolipids, (iii) glycerophospholipids, (iv) cardiolipins, (v) sphingolipids and (vi) sterols. Within each category, the structure-drawing tools support the specification of various parameters such as chain lengths at a specific sn position, head groups, double bond positions and stereochemistry to generate a specific lipid structure. The structure-drawing tools have also been integrated with a second set of online tools which predict possible lipid structures from precursor-ion and product-ion MS experimental data. The MS prediction tools are available for three categories of lipids: (i) mono/di/triacylglycerols, (ii) glycerophospholipids and (iii) cardiolipins. The LIPID MAPS online tools are publicly available at www.lipidmaps.org/tools/.


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