Literature DB >> 17180547

Effects of side-chain orientation on the 13C chemical shifts of antiparallel beta-sheet model peptides.

Myriam E Villegas1, Jorge A Vila, Harold A Scheraga.   

Abstract

The dependence of the (13)C chemical shift on side-chain orientation was investigated at the density functional level for a two-strand antiparallel beta-sheet model peptide represented by the amino acid sequence Ac-(Ala)(3)-X-(Ala)(12)-NH(2) where X represents any of the 17 naturally occurring amino acids, i.e., not including alanine, glycine and proline. The dihedral angles adopted for the backbone were taken from, and fixed at, observed experimental values of an antiparallel beta-sheet. We carried out a cluster analysis of the ensembles of conformations generated by considering the side-chain dihedral angles for each residue X as variables, and use them to compute the (13)C chemical shifts at the density functional theory level. It is shown that the adoption of the locally-dense basis set approach for the quantum chemical calculations enabled us to reduce the length of the chemical-shift calculations while maintaining good accuracy of the results. For the 17 naturally occurring amino acids in an antiparallel beta-sheet, there is (i) good agreement between computed and observed (13)C(alpha) and (13)C(beta) chemical shifts, with correlation coefficients of 0.95 and 0.99, respectively; (ii) significant variability of the computed (13)C(alpha) and (13)C(beta) chemical shifts as a function of chi(1) for all amino acid residues except Ser; and (iii) a smaller, although significant, dependence of the computed (13)C(alpha) chemical shifts on chi(xi) (with xi > or = 2) compared to chi(1) for eleven out of seventeen residues. Our results suggest that predicted (13)C(alpha) and (13)C(beta) chemical shifts, based only on backbone (phi,psi) dihedral angles from high-resolution X-ray structure data or from NMR-derived models, may differ significantly from those observed in solution if the dihedral-angle preferences for the side chains are not taken into account.

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Year:  2006        PMID: 17180547     DOI: 10.1007/s10858-006-9118-6

Source DB:  PubMed          Journal:  J Biomol NMR        ISSN: 0925-2738            Impact factor:   2.835


  29 in total

1.  Unblocked statistical-coil tetrapeptides in aqueous solution: quantum-chemical computation of the carbon-13 NMR chemical shifts.

Authors:  Jorge A Vila; Héctor A Baldoni; Daniel R Ripoll; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2003-06       Impact factor: 2.835

2.  Stable configurations of polypeptide chains.

Authors:  L PAULING; R B COREY
Journal:  Proc R Soc Lond B Biol Sci       Date:  1953-03-11

3.  Position dependence of the 13C chemical shifts of alpha-helical model peptides. Fingerprint of the 20 naturally occurring amino acids.

Authors:  Jorge A Vila; Héctor A Baldoni; Harold A Scheraga
Journal:  Protein Sci       Date:  2004-11       Impact factor: 6.725

4.  Relative orientation of close-packed beta-pleated sheets in proteins.

Authors:  C Chothia; J Janin
Journal:  Proc Natl Acad Sci U S A       Date:  1981-07       Impact factor: 11.205

5.  Conformation of beta hairpins in protein structures: classification and diversity in homologous structures.

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Journal:  Methods Enzymol       Date:  1991       Impact factor: 1.600

6.  Main-chain conformational features at different conformations of the side-chains in proteins.

Authors:  P Chakrabarti; D Pal
Journal:  Protein Eng       Date:  1998-08

7.  On the multiple-minima problem in the conformational analysis of polypeptides. II. An electrostatically driven Monte Carlo method--tests on poly(L-alanine).

Authors:  D R Ripoll; H A Scheraga
Journal:  Biopolymers       Date:  1988-08       Impact factor: 2.505

8.  Backbone-dependent rotamer library for proteins. Application to side-chain prediction.

Authors:  R L Dunbrack; M Karplus
Journal:  J Mol Biol       Date:  1993-03-20       Impact factor: 5.469

9.  Structure of beta-sheets. Origin of the right-handed twist and of the increased stability of antiparallel over parallel sheets.

Authors:  K C Chou; M Pottle; G Némethy; Y Ueda; H A Scheraga
Journal:  J Mol Biol       Date:  1982-11-25       Impact factor: 5.469

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

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Journal:  J Biomol NMR       Date:  1995-09       Impact factor: 2.835

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

Authors:  Jorge A Vila; Harold A Scheraga
Journal:  Proteins       Date:  2008-05-01

3.  Predicting 13Calpha chemical shifts for validation of protein structures.

Authors:  Jorge A Vila; Myriam E Villegas; Hector A Baldoni; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2007-06-09       Impact factor: 2.835

4.  Use of 13Calpha chemical shifts in protein structure determination.

Authors:  Jorge A Vila; Daniel R Ripoll; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2007-05-22       Impact factor: 2.991

5.  Protein backbone chemical shifts predicted from searching a database for torsion angle and sequence homology.

Authors:  Yang Shen; Ad Bax
Journal:  J Biomol NMR       Date:  2007-07-04       Impact factor: 2.835

6.  Physics-based method to validate and repair flaws in protein structures.

Authors:  Osvaldo A Martin; Yelena A Arnautova; Alejandro A Icazatti; Harold A Scheraga; Jorge A Vila
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

7.  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

8.  Quantum-mechanics-derived 13Calpha chemical shift server (CheShift) for protein structure validation.

Authors:  Jorge A Vila; Yelena A Arnautova; Osvaldo A Martin; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-08       Impact factor: 11.205

9.  SPARTA+: a modest improvement in empirical NMR chemical shift prediction by means of an artificial neural network.

Authors:  Yang Shen; Ad Bax
Journal:  J Biomol NMR       Date:  2010-07-14       Impact factor: 2.835

10.  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

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