Literature DB >> 9245358

Protein heteronuclear NMR assignments using mean-field simulated annealing.

N E Buchler1, E R Zuiderweg, H Wang, R A Goldstein.   

Abstract

A computational method for the assignment of the NMR spectra of larger (21 kDa) proteins using a set of six of the most sensitive heteronuclear multidimensional nuclear magnetic resonance experiments is described. Connectivity data obtained from HNC alpha, HN(CO)C alpha, HN(C alpha)H alpha, and H alpha (C alpha CO)NH and spin-system identification data obtained from CP-(H)CCH-TOCSY and CP-(H)C(C alpha CO)NH-TOCSY were used to perform sequence-specific assignments using a mean-field formalism and simulated annealing. This mean-field method reports the resonance assignments in a probabilistic fashion, displaying the certainty of assignments in an unambiguous and quantitative manner. This technique was applied to the NMR data of the 172-residue peptide-binding domain of the E. coli heat-shock protein, DnaK. The method is demonstrated to be robust to significant amounts of missing, spurious, noisy, extraneous, and erroneous data.

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Year:  1997        PMID: 9245358     DOI: 10.1006/jmre.1997.1106

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  22 in total

1.  Variability in automated assignment of NOESY spectra and three-dimensional structure determination: a test case on three small disulfide-bonded proteins.

Authors:  P Savarin; S Zinn-Justin; B Gilquin
Journal:  J Biomol NMR       Date:  2001-01       Impact factor: 2.835

2.  Efficient identification of amino acid types for fast protein backbone assignments.

Authors:  H D Ou; H C Lai; Z Serber; V Dötsch
Journal:  J Biomol NMR       Date:  2001-11       Impact factor: 2.835

3.  Mars -- robust automatic backbone assignment of proteins.

Authors:  Young-Sang Jung; Markus Zweckstetter
Journal:  J Biomol NMR       Date:  2004-09       Impact factor: 2.835

4.  EZ-ASSIGN, a program for exhaustive NMR chemical shift assignments of large proteins from complete or incomplete triple-resonance data.

Authors:  Erik R P Zuiderweg; Ireena Bagai; Paolo Rossi; Eric B Bertelsen
Journal:  J Biomol NMR       Date:  2013-10       Impact factor: 2.835

5.  CASA: an efficient automated assignment of protein mainchain NMR data using an ordered tree search algorithm.

Authors:  Jianyong Wang; Tianzhi Wang; Erik R P Zuiderweg; Gordon M Crippen
Journal:  J Biomol NMR       Date:  2005-12       Impact factor: 2.835

6.  Inferential backbone assignment for sparse data.

Authors:  Olga Vitek; Chris Bailey-Kellogg; Bruce Craig; Jan Vitek
Journal:  J Biomol NMR       Date:  2006-07       Impact factor: 2.835

7.  KUJIRA, a package of integrated modules for systematic and interactive analysis of NMR data directed to high-throughput NMR structure studies.

Authors:  Naohiro Kobayashi; Junji Iwahara; Seizo Koshiba; Tadashi Tomizawa; Naoya Tochio; Peter Güntert; Takanori Kigawa; Shigeyuki Yokoyama
Journal:  J Biomol NMR       Date:  2007-07-18       Impact factor: 2.835

8.  Spectral fitting for signal assignment and structural analysis of uniformly 13C-labeled solid proteins by simulated annealing based on chemical shifts and spin dynamics.

Authors:  Yoh Matsuki; Hideo Akutsu; Toshimichi Fujiwara
Journal:  J Biomol NMR       Date:  2007-07-06       Impact factor: 2.835

9.  Automated amino acid side-chain NMR assignment of proteins using (13)C- and (15)N-resolved 3D [ (1)H, (1)H]-NOESY.

Authors:  Francesco Fiorito; Torsten Herrmann; Fred F Damberger; Kurt Wüthrich
Journal:  J Biomol NMR       Date:  2008-08-16       Impact factor: 2.835

Review 10.  Automated structure determination from NMR spectra.

Authors:  Peter Güntert
Journal:  Eur Biophys J       Date:  2008-09-20       Impact factor: 1.733

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