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Author Spotlight: Unveiling the Structural and Dynamic Aspects of Glycan Molecular Recognition
Published on: May 17, 2024
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Glycan Shape, Motions, and Interactions Explored by NMR Spectroscopy
1Department of Organic Chemistry, Arrhenius Laboratory, Stockholm University, S-106 91 Stockholm, Sweden.
JACS Au
|January 26, 2024
Summary
Nuclear Magnetic Resonance (NMR) spectroscopy reveals the complex structures and interactions of glycans. This technique, aided by computational methods, provides atomic-level insights into biological recognition processes involving carbohydrates.
Area of Science:
- Carbohydrate Chemistry and Structural Biology
- Biophysical Chemistry
- Molecular Spectroscopy
Background:
- Glycans, including oligosaccharides and polysaccharides, exhibit diverse structures from linear to highly branched.
- These complex carbohydrates play crucial roles in numerous biological processes.
- Understanding glycan structure and function is vital in glycobiology.
Purpose of the Study:
- To highlight the utility of solution-state Nuclear Magnetic Resonance (NMR) spectroscopy for detailed glycan analysis.
- To demonstrate NMR's capability in elucidating glycan conformations, dynamics, and interactions.
- To showcase NMR's application in studying molecular recognition events involving glycans.
Main Methods:
- Solution-state NMR spectroscopy utilizing NMR-active nuclei and isotopically enriched glycans.
- Analysis supported by quantum chemical calculations of NMR parameters.
- Integration of machine learning, artificial intelligence, and molecular dynamics simulations.
Main Results:
- NMR spectroscopy provides high-resolution data on glycan conformations, dynamics, and transient interactions.
- Detailed atomic-level insights into lectin-glycan, antibody-glycan, and enzyme-substrate interactions.
- Generation of three-dimensional dynamic models for clarifying molecular recognition.
Conclusions:
- NMR spectroscopy is a powerful tool for comprehensive glycan structural and functional analysis.
- Computational and AI-driven methods enhance NMR data interpretation for glycans.
- This integrated approach significantly advances the understanding of glycan-mediated biological processes.
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