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nmrlearner 08-14-2010 04:19 AM

Analysis of and chemical shifts of cysteine and cystine residues in proteins: a quant
 
Abstract Cysteines possess a unique property among the 20 naturally occurring amino acids: it can be present in proteins in either the reduced or oxidized form, and can regulate the activity of some proteins. Consequently, to augment our previous treatment of the other types of residues, the
13\textC\upalpha and
13\textC\upbeta chemical shifts of 837 cysteines in disulfide-bonded cystine from a set of seven non-redundant proteins, determined by X-ray crystallography and NMR spectroscopy, were computed at the DFT level of theory. Our results indicate that the errors between observed and computed
13\textC\upalpha chemical shifts of such oxidized cysteines can be attributed to several effects such as: (a) the quality of the NMR-determined models, as evaluated by the conformational-average (ca) rmsd value; (b) the existence of high B-factor or crystal-packing effects for the X-ray-determined structures; (c) the dynamics of the disulfide bonds in solution; and (d) the differences in the experimental conditions under which the observed
13\textC\upalpha chemical shifts and the protein models were determined by either X-ray crystallography or NMR-spectroscopy. These quantum-chemical-based calculations indicate the existence of two, almost non-overlapped, basins for the oxidized and reduced â??SH
13\textC\upbeta , but not for the
13\textC\upalpha , chemical shifts, in good agreement with the observation of 375
13\textC\upalpha and 337
13\textC\upbeta resonances from 132 proteins by Sharma and Rajarathnam (2000). Overall, our results indicate that explicit consideration of the disulfide bonds is a necessary condition for an accurate prediction of
13\textC\upalpha and
13\textC\upbeta chemical shifts of cysteines in cystines.
  • Content Type Journal Article
  • DOI 10.1007/s10858-010-9396-x
  • Authors
    • Osvaldo A. Martin, Universidad Nacional de San Luis Instituto de Matemática Aplicada San Luis CONICET, Ejército de Los Andes 950 5700 San Luis Argentina
    • Myriam E. Villegas, Universidad Nacional de San Luis Instituto de Matemática Aplicada San Luis CONICET, Ejército de Los Andes 950 5700 San Luis Argentina
    • Jorge A. Vila, Universidad Nacional de San Luis Instituto de Matemática Aplicada San Luis CONICET, Ejército de Los Andes 950 5700 San Luis Argentina
    • Harold A. Scheraga, Cornell University Baker Laboratory of Chemistry and Chemical Biology Ithaca NY 14853-1301 USA

Source: Journal of Biomolecular NMR


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