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HepParser: An Intelligent Software Program for Deciphering Low-Molecular-Weight Heparin Based on Mass Spectrometry
Hui Wang1,2, Yu Wang1,2, Meijie Hou1,2
1Key Lab of Intelligent Information Processing, State Key Lab of Computer Architecture, Big-data Academy, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
A new algorithm, hepParser, precisely deciphers low-molecular-weight heparin (LMWH) components from LC/MS data. This advances the development of more effective heparin-based anticoagulants by rapidly analyzing complex polysaccharide structures.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Pharmacology
Background:
- Low-molecular-weight heparins (LMWHs) are crucial carbohydrate-based anticoagulants.
- LMWH efficacy relies on their complex polysaccharide components and structures.
- Current methods struggle to accurately separate and identify individual LMWH components.
Purpose of the Study:
- To develop a novel algorithm for precise and automated analysis of LMWH components.
- To improve the characterization of oligosaccharides within LMWH mixtures.
- To facilitate the development of advanced heparin-based anticoagulant drugs.
Main Methods:
- Development of a new algorithm named hepParser.
- Utilizing liquid chromatography/mass spectrometry (LC/MS) data for analysis.
- Automated profiling of oligosaccharides based on degree of polymerization (dp).
Main Results:
- hepParser accurately and automatically deciphers main LMWH components.
- Oligosaccharide profiling with varying dp's was achieved with high accuracy in under one minute.
- Comparison with GlycReSoft showed hepParser provided more comprehensive and reasonable results for heparan sulfate samples.
Conclusions:
- hepParser offers a significant advancement in the automated analysis of LMWHs.
- Precise structural deciphering of LMWH components is now more achievable.
- This technology supports the development of next-generation, high-efficiency anticoagulants.
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