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Related Experiment Video

Updated: Jul 14, 2026

Isolation of Lipoprotein Particles from Chicken Egg Yolk for the Study of Bacterial Pathogen Fatty Acid Incorporation into Membrane Phospholipids

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LIPID MAPS online tools for lipid research.

Eoin Fahy¹, Manish Sud, Dawn Cotter

¹LIPID MAPS Bioinformatics Core, San Diego Supercomputer Center, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92037, USA.

Nucleic Acids Research

|June 23, 2007

Summary

The LIPID MAPS online tools enable users to draw diverse lipid structures and predict structures from mass spectrometry (MS) data. These resources facilitate lipid identification and characterization for researchers.

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Last Updated: Jul 14, 2026

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Lipidomics and Transcriptomics in Neurological Diseases

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Published on: March 18, 2022

Area of Science:

Lipidomics
Bioinformatics
Chemical Biology

Background:

Accurate lipid structure elucidation is crucial for understanding biological processes.
Existing tools for lipid structure generation and identification from mass spectrometry (MS) data have limitations.

Purpose of the Study:

To develop and present user-friendly online tools for generating lipid chemical structures.
To integrate structure-drawing tools with MS data analysis for lipid structure prediction.
To provide a comprehensive resource for lipid identification and characterization.

Main Methods:

Development of an intuitive online interface for drawing lipid structures across six categories.
Integration of structure-drawing tools with MS prediction tools for acylglycerols, glycerophospholipids, and cardiolipins.
Support for detailed parameter specification including chain lengths, head groups, and stereochemistry.

Main Results:

A suite of online tools for generating specific lipid structures with systematic names and ontological information.
Successful integration of structure generation with MS-based prediction of lipid identities.
Availability of tools covering fatty acyls, glycerolipids, glycerophospholipids, cardiolipins, sphingolipids, and sterols.

Conclusions:

The LIPID MAPS online tools offer a powerful and accessible platform for lipid structure generation and MS-based prediction.
These tools streamline the process of lipid identification, aiding research in lipidomics.
The publicly available resources at www.lipidmaps.org/tools/ enhance lipid research accessibility.