Literature DB >> 9680482

Quality assessment of NMR structures: a statistical survey.

J F Doreleijers1, J A Rullmann, R Kaptein.   

Abstract

A statistical analysis is reported of experimental data and coordinates of a set of 97 NMR structures deposited in the PDB. The aim is to assess the quality of these structures in relation to the amount of experimental information. Experimental restraints were analysed using the program AQUA. Many nomenclature inconsistencies between deposited restraint and coordinate files were observed. The experimental restraint files were found to contain a high proportion of redundant restraints. Procedures for analysing and correcting the inconsistencies and restraint counts are described. The analysis of NOE restraint violations (using AQUA) and of a wide variety of geometrical quality indicators (using PROCHECK-NMR and WHAT IF) provides a reference for other NMR structure determinations. The extent of NOE violations is anti-correlated with the quality of the Ramachandran map. The precision as measured by the circular variance of backbone dihedral angles, does increase with the amount of experimental data, as expected, but is sometimes overestimated. Bond lengths, bond angles and planarity of groups can deviate considerably from ideal values. Outliers appear to cluster per laboratory, indicating that the results depend on particulars of refinement protocols and/or software. We have identified a problem of atom overlap in a number of refined structures.We recommend adhering to the standard nomenclature as put forward by an IUPAC Task Group, to ensure consistency between restraints and coordinates, and to omit redundant restraints from the deposition. The results obtained from this analysis and the AQUA program are available through the World Wide Web. Copyright 1998 Academic Press.

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Year:  1998        PMID: 9680482     DOI: 10.1006/jmbi.1998.1808

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  37 in total

1.  Refinement of the protein backbone angle psi in NMR structure calculations.

Authors:  R Sprangers; M J Bottomley; J P Linge; J Schultz; M Nilges; M Sattler
Journal:  J Biomol NMR       Date:  2000-01       Impact factor: 2.835

2.  Completeness of NOEs in protein structure: a statistical analysis of NMR.

Authors:  J F Doreleijers; M L Raves; T Rullmann; R Kaptein
Journal:  J Biomol NMR       Date:  1999-06       Impact factor: 2.835

3.  Joint refinement as a tool for thorough comparison between NMR and X-ray data and structures of HU protein.

Authors:  M L Raves; J F Doreleijer; H Vis; C E Vorgias; K S Wilson; R Kaptei
Journal:  J Biomol NMR       Date:  2001-11       Impact factor: 2.835

4.  The solution structure of human beta2-microglobulin reveals the prodromes of its amyloid transition.

Authors:  Giuliana Verdone; Alessandra Corazza; Paolo Viglino; Fabio Pettirossi; Sofia Giorgetti; Palma Mangione; Alessia Andreola; Monica Stoppini; Vittorio Bellotti; Gennaro Esposito
Journal:  Protein Sci       Date:  2002-03       Impact factor: 6.725

5.  Improving the quality of protein structures derived by NMR spectroscopy.

Authors:  Christian A E M Spronk; Jens P Linge; Cornelis W Hilbers; Geerten W Vuister
Journal:  J Biomol NMR       Date:  2002-03       Impact factor: 2.835

6.  A refined solution structure of hen lysozyme determined using residual dipolar coupling data.

Authors:  H Schwalbe; S B Grimshaw; A Spencer; M Buck; J Boyd; C M Dobson; C Redfield; L J Smith
Journal:  Protein Sci       Date:  2001-04       Impact factor: 6.725

7.  NMR structure of a concatemer of the first and second ligand-binding modules of the human low-density lipoprotein receptor.

Authors:  N D Kurniawan; A R Atkins; S Bieri; C J Brown; I M Brereton; P A Kroon; R Smith
Journal:  Protein Sci       Date:  2000-07       Impact factor: 6.725

8.  A use of Ramachandran potentials in protein solution structure determinations.

Authors:  Ivano Bertini; Gabriele Cavallaro; Claudio Luchinat; Irene Poli
Journal:  J Biomol NMR       Date:  2003-08       Impact factor: 2.835

9.  Sequence-structure mapping errors in the PDB: OB-fold domains.

Authors:  Ceslovas Venclovas; Krzysztof Ginalski; Chulhee Kang
Journal:  Protein Sci       Date:  2004-05-07       Impact factor: 6.725

10.  Protein structure validation by generalized linear model root-mean-square deviation prediction.

Authors:  Anurag Bagaria; Victor Jaravine; Yuanpeng J Huang; Gaetano T Montelione; Peter Güntert
Journal:  Protein Sci       Date:  2012-01-04       Impact factor: 6.725

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