Conformational analysis of oligosaccharides and polysaccharides using molecular dynamics simulations

Area of Science:

• Carbohydrate Chemistry
• Computational Chemistry
• Structural Biology

Background:

• Complex carbohydrates possess numerous rotatable bonds, leading to a vast conformational space.
• Systematic conformational analysis is computationally intensive, limiting routine application to smaller carbohydrate structures (disaccharides, trisaccharides).

Purpose of the Study:

• To describe methods for exploring the conformational space of complex carbohydrates.
• To detail the use of molecular dynamics (MD) simulation data for oligosaccharide conformational analysis.
• To explain the construction of realistic 3D models for large polysaccharides.

Main Methods:

• Utilizing high-temperature molecular dynamics (MD) simulations to explore conformational landscapes.
• Applying Monte-Carlo methods as an alternative approach for conformational sampling.
• Employing Conformational Analysis Tools (CAT) for building 3D polysaccharide structures from MD data.

Main Results:

• MD simulations provide data for detailed conformational analysis, including conformational maps and hydrogen bond analysis of oligosaccharides.
• The described methods enable the generation of realistic 3D structural models for large polysaccharides.

Conclusions:

• Molecular dynamics (MD) simulations are effective for overcoming the combinatorial explosion in carbohydrate conformational analysis.
• The presented approach facilitates the study of complex and large carbohydrate structures, advancing their structural biology and chemistry.