Literature DB >> 16258827

Estimating the accuracy of protein structures using residual dipolar couplings.

Katya Simon1, Jun Xu, Chinpal Kim, Nikolai R Skrynnikov.   

Abstract

It has been commonly recognized that residual dipolar coupling data provide a measure of quality for protein structures. To quantify this observation, a database of 100 single-domain proteins has been compiled where each protein was represented by two independently solved structures. Backbone 1H-15N dipolar couplings were simulated for the target structures and then fitted to the model structures. The fits were characterized by an R-factor which was corrected for the effects of non-uniform distribution of dipolar vectors on a unit sphere. The analyses show that favorable R values virtually guarantee high accuracy of the model structure (where accuracy is defined as the backbone coordinate rms deviation). On the other hand, unfavorable R values do not necessarily suggest low accuracy. Based on the simulated data, a simple empirical formula is proposed to estimate the accuracy of protein structures. The method is illustrated with a number of examples, including PDZ2 domain of human phosphatase hPTP1E.

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Year:  2005        PMID: 16258827     DOI: 10.1007/s10858-005-2601-7

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


  57 in total

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Journal:  J Biomol NMR       Date:  2002-06       Impact factor: 2.835

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Authors:  Markus Zweckstetter; Gerhard Hummer; Ad Bax
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Authors:  M Ottiger; A Bax
Journal:  J Biomol NMR       Date:  1999-02       Impact factor: 2.835

10.  Solution structure of the MutT enzyme, a nucleoside triphosphate pyrophosphohydrolase.

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Journal:  Biochemistry       Date:  1995-11-21       Impact factor: 3.162

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  9 in total

1.  Domain cooperativity in multidomain proteins: what can we learn from molecular alignment in anisotropic media?

Authors:  Tairan Yuwen; Carol Beth Post; Nikolai R Skrynnikov
Journal:  J Biomol NMR       Date:  2011-09-27       Impact factor: 2.835

2.  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

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5.  Structure discrimination for the C-terminal domain of Escherichia coli trigger factor in solution.

Authors:  Yong Yao; Gira Bhabha; Gerard Kroon; Mindy Landes; H Jane Dyson
Journal:  J Biomol NMR       Date:  2007-11-28       Impact factor: 2.835

Review 6.  Modern Technologies of Solution Nuclear Magnetic Resonance Spectroscopy for Three-dimensional Structure Determination of Proteins Open Avenues for Life Scientists.

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7.  A method for validating the accuracy of NMR protein structures.

Authors:  Nicholas J Fowler; Adnan Sljoka; Mike P Williamson
Journal:  Nat Commun       Date:  2020-12-18       Impact factor: 14.919

8.  Molecular Dynamics model of peptide-protein conjugation: case study of covalent complex between Sos1 peptide and N-terminal SH3 domain from Grb2.

Authors:  Dmitrii A Luzik; Olga N Rogacheva; Sergei A Izmailov; Maria I Indeykina; Alexei S Kononikhin; Nikolai R Skrynnikov
Journal:  Sci Rep       Date:  2019-12-27       Impact factor: 4.379

9.  Chemical shifts-based similarity restraints improve accuracy of RNA structures determined via NMR.

Authors:  Chad Lawrence; Alexander Grishaev
Journal:  RNA       Date:  2020-09-11       Impact factor: 4.942

  9 in total

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