Glycobioinformatics: current strategies and tools for data mining in MS-based glycoproteomics

Area of Science:

• Glycoscience
• Bioinformatics
• Proteomics

Background:

• Mass spectrometry (MS) advances enable high-throughput glycopeptide analysis.
• Interpreting MS data for glycan structures, attachment sites, and linkages remains challenging.
• Glycobioinformatics is crucial for supporting MS-based glycoproteomics.

Purpose of the Study:

• To discuss current strategies in MS-based glycoproteomics.
• To review available bioinformatics tools for glycopeptide and glycan analysis.
• To provide an overview of new glycobioinformatics initiatives like UniCarbKB.

Main Methods:

• Literature review of MS-based glycoproteomics strategies.
• Survey of existing bioinformatics tools for glycan and glycopeptide analysis.
• Description of new glycobioinformatics platforms and initiatives.

Main Results:

• Identified challenges in interpreting MS output for glycosylation details.
• Detailed features and functionalities of various glycobioinformatics tools.
• Introduced UniCarbKB as a step toward unified glycobioinformatics platforms.

Conclusions:

• Glycobioinformatics is essential for overcoming MS-based glycoproteomics challenges.
• A variety of tools exist, aiding researchers in selecting appropriate applications.
• Ongoing development aims for more comprehensive and unified glycobioinformatics solutions.