Literature DB >> 17975838

Factors affecting the use of 13C(alpha) chemical shifts to determine, refine, and validate protein structures.

Jorge A Vila1, Harold A Scheraga.   

Abstract

Interest centers here on the analysis of two different, but related, phenomena that affect side-chain conformations and consequently 13C(alpha) chemical shifts and their applications to determine, refine, and validate protein structures. The first is whether 13C(alpha) chemical shifts, computed at the DFT level of approximation with charged residues is a better approximation of observed 13C(alpha) chemical shifts than those computed with neutral residues for proteins in solution. Accurate computation of 13C(alpha) chemical shifts requires a proper representation of the charges, which might not take on integral values. For this analysis, the charges for 139 conformations of the protein ubiquitin were determined by explicit consideration of protein binding equilibria, at a given pH, that is, by exploring the 2(xi) possible ionization states of the whole molecule, with xi being the number of ionizable groups. The results of this analysis, as revealed by the shielding/deshielding of the 13C(alpha) nucleus, indicated that: (i) there is a significant difference in the computed 13C(alpha) chemical shifts, between basic and acidic groups, as a function of the degree of charge of the side chain; (ii) this difference is attributed to the distance between the ionizable groups and the 13C(alpha) nucleus, which is shorter for the acidic Asp and Glu groups as compared with that for the basic Lys and Arg groups; and (iii) the use of neutral, rather than charged, basic and acidic groups is a better approximation of the observed 13C(alpha) chemical shifts of a protein in solution. The second is how side-chain flexibility influences computed 13C(alpha) chemical shifts in an additional set of ubiquitin conformations, in which the side chains are generated from an NMR-derived structure with the backbone conformation assumed to be fixed. The 13C(alpha) chemical shift of a given amino acid residue in a protein is determined, mainly, by its own backbone and side-chain torsional angles, independent of the neighboring residues; the conformation of a given residue itself, however, depends on the environment of this residue and, hence, on the whole protein structure. As a consequence, this analysis reveals the role and impact of an accurate side-chain computation in the determination and refinement of protein conformation. The results of this analysis are: (i) a lower error between computed and observed 13C(alpha) chemical shifts (by up to 3.7 ppm), was found for approximately 68% and approximately 63% of all ionizable residues and all non-Ala/Pro/Gly residues, respectively, in the additional set of conformations, compared with results for the model from which the set was derived; and (ii) all the additional conformations exhibit a lower root-mean-square-deviation (1.97 ppm < or = rmsd < or = 2.13 ppm), between computed and observed 13C(alpha) chemical shifts, than the rmsd (2.32 ppm) computed for the starting conformation from which this additional set was derived. As a validation test, an analysis of the additional set of ubiquitin conformations, comparing computed and observed values of both 13C(alpha) chemical shifts and chi(1) torsional angles (given by the vicinal coupling constants, 3J(N-Cgamma) and 3J(C'-Cgamma), is discussed.

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Year:  2008        PMID: 17975838      PMCID: PMC2490732          DOI: 10.1002/prot.21726

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  36 in total

1.  Simultaneous determination of protein structure and dynamics.

Authors:  Kresten Lindorff-Larsen; Robert B Best; Mark A Depristo; Christopher M Dobson; Michele Vendruscolo
Journal:  Nature       Date:  2005-01-13       Impact factor: 49.962

2.  Improved side-chain modeling for protein-protein docking.

Authors:  Chu Wang; Ora Schueler-Furman; David Baker
Journal:  Protein Sci       Date:  2005-03-31       Impact factor: 6.725

3.  Unfolding dynamics of the protein ubiquitin: insight from simulation.

Authors:  Shubhra Ghosh Dastidar; Chaitali Mukhopadhyay
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2005-11-29

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Review 5.  Modeling side-chain conformation.

Authors:  M Vásquez
Journal:  Curr Opin Struct Biol       Date:  1996-04       Impact factor: 6.809

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7.  Coupling between conformation and proton binding in proteins.

Authors:  Jorge A Vila; Daniel R Ripoll; Yelena A Arnautova; Yury N Vorobjev; Harold A Scheraga
Journal:  Proteins       Date:  2005-10-01

8.  C alpha and C beta carbon-13 chemical shifts in proteins from an empirical database.

Authors:  M Iwadate; T Asakura; M P Williamson
Journal:  J Biomol NMR       Date:  1999-03       Impact factor: 2.835

9.  Lys6-modified ubiquitin inhibits ubiquitin-dependent protein degradation.

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Journal:  J Biol Chem       Date:  2005-03-24       Impact factor: 5.157

10.  1H, 13C and 15N chemical shift referencing in biomolecular NMR.

Authors:  D S Wishart; C G Bigam; J Yao; F Abildgaard; H J Dyson; E Oldfield; J L Markley; B D Sykes
Journal:  J Biomol NMR       Date:  1995-09       Impact factor: 2.835

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  16 in total

1.  Sequential nearest-neighbor effects on computed 13Calpha chemical shifts.

Authors:  Jorge A Vila; Pedro Serrano; Kurt Wüthrich; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2010-07-20       Impact factor: 2.835

2.  13C structuring shifts for the analysis of model β-hairpins and β-sheets in proteins: diagnostic shifts appear only at the cross-strand H-bonded residues.

Authors:  Irene Shu; Michele Scian; James M Stewart; Brandon L Kier; Niels H Andersen
Journal:  J Biomol NMR       Date:  2013-07-14       Impact factor: 2.835

3.  What can we learn by computing 13Calpha chemical shifts for X-ray protein models?

Authors:  Yelena A Arnautova; Jorge A Vila; Osvaldo A Martin; Harold A Scheraga
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2009-06-20

4.  Quantum chemical 13C(alpha) chemical shift calculations for protein NMR structure determination, refinement, and validation.

Authors:  Jorge A Vila; James M Aramini; Paolo Rossi; Alexandre Kuzin; Min Su; Jayaraman Seetharaman; Rong Xiao; Liang Tong; Gaetano T Montelione; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-11       Impact factor: 11.205

5.  Accurate ab initio prediction of NMR chemical shifts of nucleic acids and nucleic acids/protein complexes.

Authors:  Andrea Victora; Heiko M Möller; Thomas E Exner
Journal:  Nucleic Acids Res       Date:  2014-11-17       Impact factor: 16.971

6.  Performance of density functional models to reproduce observed (13)C(alpha) chemical shifts of proteins in solution.

Authors:  Jorge A Vila; Héctor A Baldoni; Harold A Scheraga
Journal:  J Comput Chem       Date:  2009-04-30       Impact factor: 3.376

7.  Assessing the accuracy of protein structures by quantum mechanical computations of 13C(alpha) chemical shifts.

Authors:  Jorge A Vila; Harold A Scheraga
Journal:  Acc Chem Res       Date:  2009-10-20       Impact factor: 22.384

8.  Analysis of 13Calpha and 13Cbeta chemical shifts of cysteine and cystine residues in proteins: a quantum chemical approach.

Authors:  Osvaldo A Martin; Myriam E Villegas; Jorge A Vila; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2010-01-21       Impact factor: 2.835

9.  Mapping the dynamics of ligand reorganization via 13CH3 and 13CH2 relaxation dispersion at natural abundance.

Authors:  Jeffrey W Peng; Brian D Wilson; Andrew T Namanja
Journal:  J Biomol NMR       Date:  2009-07-29       Impact factor: 2.835

10.  Density functional calculations of chemical shielding of backbone 15N in helical residues of protein G.

Authors:  Ling Cai; David Fushman; Daniel S Kosov
Journal:  J Biomol NMR       Date:  2009-07-31       Impact factor: 2.835

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