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Application of the Systematic Molecular Fragmentation by Annihilation Method to ab Initio NMR Chemical Shift Calculations.
Kobayashi, Rika; Amos, Roger D; Reid, David M; Collins, Michael A.
Afiliación
  • Kobayashi R; ANU Supercomputer Facility , Leonard Huxley Building 56, Mills Road , Canberra , ACT 2601 , Australia.
  • Amos RD; ANU Supercomputer Facility , Leonard Huxley Building 56, Mills Road , Canberra , ACT 2601 , Australia.
  • Reid DM; Research School of Chemistry , Australian National University , Canberra , ACT 2601 , Australia.
  • Collins MA; Research School of Chemistry , Australian National University , Canberra , ACT 2601 , Australia.
J Phys Chem A ; 122(46): 9135-9141, 2018 Nov 21.
Article en En | MEDLINE | ID: mdl-30398349
NMR is a powerful tool for obtaining information on the structural characterization and dynamics of proteins, and nucleic acids, and their complexes. The complexity of the spectra is such that elucidation through computational simulation is a much desired thing. However, the size of most structures of interest is such that they remain out of reach of accurate quantum chemical techniques. Fragmentation methods have been shown to be a viable means of reducing the cost of ab initio calculations to enable the prediction of molecular properties of large systems to chemical accuracy. We look at the systematic molecular fragmentation by annihilation method for a model peptide system and show that this procedure reproduces the shielding constants of a full calculation at only a fraction of the cost. Discussion of the considerations needed in applying this method is discussed and comparison made with the results of the similar fragment molecular orbital and ONIOM methods.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Phys Chem A Asunto de la revista: QUIMICA Año: 2018 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: J Phys Chem A Asunto de la revista: QUIMICA Año: 2018 Tipo del documento: Article País de afiliación: Australia Pais de publicación: Estados Unidos