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Computational studies of sialyllactones: methods and uses

A L Parrill1, N Mamuya, D P Dolata

  • 1Department of Chemistry, The University of Arizona, Tucson 85721, USA. abby@mercury.aichem.arizona.edu

Glycoconjugate Journal
|June 1, 1997
PubMed
Summary

Computational modeling identified optimal methods for analyzing sialyllactones. The MM3 force field with implicit solvent best reproduced experimental data, suggesting these methods can predict pre-organized conformations for neuraminidase inhibitors.

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Area of Science:

  • Carbohydrate Chemistry
  • Computational Chemistry
  • Drug Discovery

Background:

  • N-Acetylneuraminic acid is crucial in biological recognition.
  • Neuraminidase enzymes, targeted for antiviral drugs, cleave sialic acids.
  • Viral entry depends on neuraminidase activity.

Purpose of the Study:

  • To assess if sialyllactones offer pre-organized conformations for neuraminidase binding.
  • To systematically compare computational methods for carbohydrate conformational analysis.
  • To identify computational models that accurately predict sialic acid derivative conformations.

Main Methods:

  • Conformational analysis comparing two techniques.
  • Evaluation of four different molecular mechanics force fields.

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  • Assessment of three distinct solvent models.
  • Comparison of computational results against experimental coupling constants for sialic acid and its lactone derivatives.

    • Main Results:

    • The MM3 force field combined with the Macromodel implicit solvent model for water demonstrated the best reproduction of experimental coupling constants.
    • This computational approach successfully generated low-energy conformations for sialic acid derivatives.
    • The identified conformations are pre-organized, aligning with the active site of neuraminidase.

    Conclusions:

    • The MM3 force field and implicit solvent model provide a reliable computational strategy for carbohydrate conformational analysis.
    • Sialyllactones can achieve pre-organized conformations suitable for neuraminidase active site binding.
    • This finding supports the development of sialyllactone-based antiviral drugs.