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Overlapping anomeric effects in a sucrose analogue
A D French1, L Schäfer, S Q Newton
1Southern Regional Research Center, U.S. Department of Agriculture, New Orleans, Louisiana 70179.
Carbohydrate Research
|February 1, 1993
Summary
Molecular mechanics (MM3) overestimates energies for sucrose structures. Ab initio 4-21G calculations provide more accurate conformational energies and bond lengths for sucrose analogues, improving computational chemistry accuracy.
Area of Science:
- Carbohydrate Chemistry
- Computational Chemistry
- Structural Biology
Background:
- Molecular mechanics (MM3) calculations previously yielded high energies for sucrosyl geometries in oligosaccharides.
- Observed interresidue linkage conformations in disaccharides like maltose and cellobiose showed lower MM3 energy ranges (within 2.8 kcal/mol).
- Discrepancies suggest MM3 may overestimate energies for linkages between pyranose and furanose anomeric centers.
Purpose of the Study:
- To investigate the conformational energies and geometry of a sucrose analogue, tetrahydro-2-[(tetrahydro-2-furanyl)oxy]-2H-pyran.
- To compare the accuracy of ab initio (4-21G) calculations with MM3 for modeling carbohydrate structures.
- To determine if ab initio methods can better reproduce experimentally observed geometries and energy ranges.
Main Methods:
- Utilized ab initio calculations at the 4-21G level.
- Employed the molecular mechanics program MM3.
- Studied the conformational energies and geometry of a specific sucrose analogue.
Main Results:
- Ab initio 4-21G calculations reduced the energy range for observed analogue structures to 2.4 kcal/mol.
- New MM3 calculations increased the analogue's energy range to 7.5 kcal/mol.
- 4-21G calculations better reproduced observed variations in endocyclic C-O bond lengths compared to MM3.
Conclusions:
- Ab initio 4-21G calculations offer improved accuracy for conformational energies of sucrose analogues compared to MM3.
- The 4-21G method provides a more reliable representation of experimentally observed geometries, including bond lengths.
- These findings highlight the importance of selecting appropriate computational methods for accurate carbohydrate modeling.