Location: Plant Polymer Research
Title: How to select basis sets and computational methods for carbohydrate modeling Authors
Submitted to: Midwest Theoretical Chemistry Conference
Publication Type: Abstract Only
Publication Acceptance Date: June 1, 2008
Publication Date: June 28, 2008
Citation: Schnupf, U., Willett, J.L., Bosma, W.B., Momany, F.A. 2008. How to select basis sets and computational methods for carbohydrate modeling. Midwest Theoretical Chemistry Conference. xx. Technical Abstract: In the last decade there have been significant improvements in computer hardware but also in development of quantum mechanical methods. This makes it more feasible to study large carbohydrate molecules via quantum mechanical methods whereas in the past studies of carbohydrates were restricted to empirical/semiempirical methods and Hartree Fock. As a result, more and more carbohydrates studies, using DFT methods, have appeared in the chemical literature. The application of DFT methods for modeling carbohydrates generates a common question in the scientific community on how accurately energies, structures, and properties can be determined. Further, one should ask what DFT methods and basis sets should be use in order to produce a high quality results. In the current paper we address the issue of selecting a proper DFT method and optimal basis set for carbohydrates. In addition, we make some comparisons to MP2 and CCSD studies. Further, we will discuss the issue of selecting a useful conformational space to study carbohydrates.