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Structure of Lipids

Structure of Lipids

Lipids include a diverse group of compounds that are largely nonpolar in nature. This is because they are hydrocarbons that include mostly nonpolar carbon-carbon or carbon-hydrogen bonds. Non-polar molecules are hydrophobic (“water fearing”), or insoluble in water. Lipids perform many different functions in a cell. Cells store energy for long-term use in the form of fats. Lipids also provide insulation from the environment for plants and animals. For example, they help keep aquatic...

Structure of Lipids

Structure of Lipids

Structure of Lipids

Structure of Lipids

Biosynthesis of Lipids

Biosynthesis of Lipids

Microbial membranes exhibit remarkable diversity in lipid composition, reflecting evolutionary adaptations to various environmental conditions. The three domains of life—Bacteria, Archaea, and Eukarya—synthesize membrane lipids through distinct biosynthetic pathways, leading to fundamental structural differences that impact membrane stability, function, and adaptability.Fatty Acid-Based Lipids in Bacteria and EukaryaBacteria and eukaryotes share a common fatty acid biosynthesis...

What are Lipids?

What are Lipids?

Assembly of the Lipid Bilayer in the ER

Assembly of the Lipid Bilayer in the ER

Biological membranes are more than just a barrier separating cell cytoplasm from the outside environment. They are highly dynamic and help maintain the integrity and physiological stability of the cells as well as membrane-bound organelles. Membranes also play vital roles in cell-to-cell and intracellular communication.
A large chunk of any biological membrane is composed of phospholipids. These lipids have a heterogeneous distribution across different subcellular organelles and even between...

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Author Spotlight: Unraveling the Pathogenesis of Age-Related Macular Degeneration and Discovering Potential Therapies

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Automated structural classification of lipids by machine learning.

Ryan Taylor¹, Ryan H Miller¹, Ryan D Miller¹

¹Department of Chemistry and Biochemistry and Department of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.

Bioinformatics (Oxford, England)

|November 1, 2014

Summary

This summary is machine-generated.

An automated tool classifies lipids using chemical characteristics and machine learning, achieving over 95% accuracy for known lipids. This advances lipidomics by enabling faster, more accurate lipid identification and correcting database errors.

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Determination of Total Lipid and Lipid Classes in Marine Samples

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Published on: December 11, 2021

Area of Science:

Lipidomics
Bioinformatics
Computational Chemistry

Background:

The lipidome's vast diversity necessitates structural ontologies for modern lipidomics.
Current manual lipid classification is time-consuming and limits the scope of lipid identification.
Automated classification is crucial for accurate mass spectral identification and expanding lipid databases.

Purpose of the Study:

To develop an automated tool for classifying lipids according to the LIPID MAPS ontology.
To improve the speed and accuracy of lipid classification in lipidomics research.
To identify and correct misclassifications within existing lipid databases.

Main Methods:

Utilized simple chemical characteristics of lipids.
Employed modern machine learning algorithms for classification.
Developed decision trees for transparent and interpretable classification logic.

Main Results:

Achieved >95% accuracy for classifying known lipids and 63% accuracy for novel lipids.
Identified hundreds of misclassified lipids in the LIPID MAPS database.
Generated intelligible decision trees clarifying classification assumptions.

Conclusions:

The developed tool significantly enhances lipid classification efficiency and accuracy.
Automated classification is essential for advancing lipidomics and ensuring data integrity.
The tool and its underlying logic are available for broader implementation and research.