Literature DB >> 11457007

Sequence-dependent correction of random coil NMR chemical shifts.

S Schwarzinger1, G J Kroon, T R Foss, J Chung, P E Wright, H J Dyson.   

Abstract

Random coil chemical shifts are commonly used to detect secondary structure elements in proteins in chemical shift index calculations. While this technique is very reliable for folded proteins, application to unfolded proteins reveals significant deviations from measured random coil shifts for certain nuclei. While some of these deviations can be ascribed to residual structure in the unfolded protein, others are clearly caused by local sequence effects. In particular, the amide nitrogen, amide proton, and carbonyl carbon chemical shifts are highly sensitive to the local amino acid sequence. We present a detailed, quantitative analysis of the effect of the 20 naturally occurring amino acids on the random coil shifts of (15)N(H), (1)H(N), and (13)CO resonances of neighboring residues, utilizing complete resonance assignments for a set of five-residue peptides Ac-G-G-X-G-G-NH(2). The work includes a validation of the concepts used to derive sequence-dependent correction factors for random coil chemical shifts, and a comprehensive tabulation of sequence-dependent correction factors that can be applied for amino acids up to two residues from a given position. This new set of correction factors will have important applications to folded proteins as well as to short, unstructured peptides and unfolded proteins.

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Year:  2001        PMID: 11457007     DOI: 10.1021/ja003760i

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  204 in total

1.  Structural and dynamic characterization of an unfolded state of poplar apo-plastocyanin formed under nondenaturing conditions.

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Journal:  Protein Sci       Date:  2001-05       Impact factor: 6.725

2.  The RelA nuclear localization signal folds upon binding to IκBα.

Authors:  Carla F Cervantes; Simon Bergqvist; Magnus Kjaergaard; Gerard Kroon; Shih-Che Sue; H Jane Dyson; Elizabeth A Komives
Journal:  J Mol Biol       Date:  2010-11-19       Impact factor: 5.469

3.  Amide temperature coefficients in the protein G B1 domain.

Authors:  Jennifer H Tomlinson; Mike P Williamson
Journal:  J Biomol NMR       Date:  2011-11-11       Impact factor: 2.835

4.  RefDB: a database of uniformly referenced protein chemical shifts.

Authors:  Haiyan Zhang; Stephen Neal; David S Wishart
Journal:  J Biomol NMR       Date:  2003-03       Impact factor: 2.835

5.  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

6.  Unblocked statistical-coil tetrapeptides and pentapeptides in aqueous solution: a theoretical study.

Authors:  Jorge A Vila; Daniel R Ripoll; Héctor A Baldoni; Harold A Scheraga
Journal:  J Biomol NMR       Date:  2002-11       Impact factor: 2.835

7.  Characterisation of a mobile protein-binding epitope in the translocation domain of colicin E9.

Authors:  Colin J Macdonald; Kaeko Tozawa; Emily S Collins; Christopher N Penfold; Richard James; Colin Kleanthous; Nigel J Clayden; Geoffrey R Moore
Journal:  J Biomol NMR       Date:  2004-09       Impact factor: 2.835

8.  Predicting 15N chemical shifts in proteins using the preceding residue-specific individual shielding surfaces from phi, psi i-1, and chi 1 torsion angles.

Authors:  Yunjun Wang; Oleg Jardetzky
Journal:  J Biomol NMR       Date:  2004-04       Impact factor: 2.835

9.  Pre-structured motifs in the natively unstructured preS1 surface antigen of hepatitis B virus.

Authors:  Seung-Wook Chi; Do-Hyoung Kim; Si-Hyung Lee; Iksoo Chang; Kyou-Hoon Han
Journal:  Protein Sci       Date:  2007-08-31       Impact factor: 6.725

10.  Insights into the dynamics of specific telomeric single-stranded DNA recognition by Pot1pN.

Authors:  Johnny E Croy; Deborah S Wuttke
Journal:  J Mol Biol       Date:  2009-02-13       Impact factor: 5.469

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