Literature DB >> 3689754

Main-chain-directed strategy for the assignment of 1H NMR spectra of proteins.

S W Englander1, A J Wand.   

Abstract

A strategy for assigning the resonances in two-dimensional (2D) NMR spectra of proteins is described. The method emphasizes the analysis of through-space relationships between protons by use of the two-dimensional nuclear Overhauser effect (NOE) experiment. NOE patterns used in the algorithm were derived from a statistical analysis of the combinations of short proton-proton distances observed in the high-resolution crystal structures of 21 proteins. One starts with a search for authentic main-chain NH-C alpha H-C beta H J-coupled units, which can be found with high reliability. The many main-chain units of a protein are then placed in their proper juxtaposition by recognition of predefined NOE connectivity patterns. To discover these connectivities, the 2D NOE spectrum is examined, in a prescribed order, for the distinct NOE patterns characteristic of helices, sheets, turns, and extended chain. Finally, the recognition of a few amino acid side-chain types places the discovered secondary structure elements within the polypeptide sequence. Unlike the sequential assignment approach, the main-chain-directed strategy does not rely on the difficult task of recognizing many side-chain spin systems in J-correlated spectra, the assignment process is not in general sequential with the polypeptide chain, and the prescribed connectivity patterns are cyclic rather than linear. The latter characteristic avoids ambiguous branch points in the analysis and imposes an internally confirmatory property on each forward step.

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Year:  1987        PMID: 3689754     DOI: 10.1021/bi00393a001

Source DB:  PubMed          Journal:  Biochemistry        ISSN: 0006-2960            Impact factor:   3.162


  35 in total

1.  Two-dimensional 1H NMR study of recombinant insect defensin A in water: resonance assignments, secondary structure and global folding.

Authors:  J M Bonmatin; J L Bonnat; X Gallet; F Vovelle; M Ptak; J M Reichhart; J A Hoffmann; E Keppi; M Legrain; T Achstetter
Journal:  J Biomol NMR       Date:  1992-05       Impact factor: 2.835

2.  Chemical exchange in two dimensions in the 1H NMR assignment of cytochrome c.

Authors:  Y Q Feng; A J Wand; H Roder; S W Englander
Journal:  Biophys J       Date:  1991-02       Impact factor: 4.033

3.  Implementation of the main chain directed assignment strategy. Computer assisted approach.

Authors:  S J Nelson; D M Schneider; A J Wand
Journal:  Biophys J       Date:  1991-05       Impact factor: 4.033

4.  Triple resonance three-dimensional protein NMR: before it became a black box.

Authors:  Ad Bax
Journal:  J Magn Reson       Date:  2011-08-31       Impact factor: 2.229

5.  Protein structural information derived from NMR chemical shift with the neural network program TALOS-N.

Authors:  Yang Shen; Ad Bax
Journal:  Methods Mol Biol       Date:  2015

6.  AURELIA, a program for computer-aided analysis of multidimensional NMR spectra.

Authors:  K P Neidig; M Geyer; A Görler; C Antz; R Saffrich; W Beneicke; H R Kalbitzer
Journal:  J Biomol NMR       Date:  1995-11       Impact factor: 2.835

7.  Conformational studies of the N-terminal lipid-associating domain of human apolipoprotein C-I by CD and 1H NMR spectroscopy.

Authors:  A Rozek; G W Buchko; P Kanda; R J Cushley
Journal:  Protein Sci       Date:  1997-09       Impact factor: 6.725

8.  Statistical analysis of double NOE transfer pathways in proteins as measured in 3D NOE-NOE spectroscopy.

Authors:  G W Vuister; R Boelens; A Padilla; R Kaptein
Journal:  J Biomol NMR       Date:  1991-11       Impact factor: 2.835

9.  Computer-assisted assignment of 2D 1H NMR spectra of proteins: basic algorithms and application to phoratoxin B.

Authors:  G J Kleywegt; R Boelens; M Cox; M Llinás; R Kaptein
Journal:  J Biomol NMR       Date:  1991-05       Impact factor: 2.835

Review 10.  Linear-dichroism spectroscopy for the study of structural properties of proteins.

Authors:  M Bloemendal; R van Grondelle
Journal:  Mol Biol Rep       Date:  1993-06       Impact factor: 2.316

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