Literature DB >> 26474790

Ensembles of a small number of conformations with relative populations.

Vijay Vammi1, Guang Song2,3.   

Abstract

In our previous work, we proposed a new way to represent protein native states, using ensembles of a small number of conformations with relative Populations, or ESP in short. Using Ubiquitin as an example, we showed that using a small number of conformations could greatly reduce the potential of overfitting and assigning relative populations to protein ensembles could significantly improve their quality. To demonstrate that ESP indeed is an excellent alternative to represent protein native states, in this work we compare the quality of two ESP ensembles of Ubiquitin with several well-known regular ensembles or average structure representations. Extensive amount of significant experimental data are employed to achieve a thorough assessment. Our results demonstrate that ESP ensembles, though much smaller in size comparing to regular ensembles, perform equally or even better sometimes in all four different types of experimental data used in the assessment, namely, the residual dipolar couplings, residual chemical shift anisotropy, hydrogen exchange rates, and solution scattering profiles. This work further underlines the significance of having relative populations in describing the native states.

Entities:  

Keywords:  Hydrogen exchange rates; NMR; Overfitting; Residual chemical shift anisotropy; Residual dipolar couplings; SAXS; Ubiquitin; WAXS

Mesh:

Substances:

Year:  2015        PMID: 26474790     DOI: 10.1007/s10858-015-9993-9

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


  40 in total

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2.  Refinement of multidomain protein structures by combination of solution small-angle X-ray scattering and NMR data.

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Journal:  J Am Chem Soc       Date:  2005-11-30       Impact factor: 15.419

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Authors:  H Frauenfelder; S G Sligar; P G Wolynes
Journal:  Science       Date:  1991-12-13       Impact factor: 47.728

4.  Self-consistent residual dipolar coupling based model-free analysis for the robust determination of nanosecond to microsecond protein dynamics.

Authors:  Nils-Alexander Lakomek; Korvin F A Walter; Christophe Farès; Oliver F Lange; Bert L de Groot; Helmut Grubmüller; Rafael Brüschweiler; Axel Munk; Stefan Becker; Jens Meiler; Christian Griesinger
Journal:  J Biomol NMR       Date:  2008-06-04       Impact factor: 2.835

5.  Enhancing the quality of protein conformation ensembles with relative populations.

Authors:  Vijay Vammi; Tu-Liang Lin; Guang Song
Journal:  J Biomol NMR       Date:  2014-02-12       Impact factor: 2.835

6.  Assessing the native state conformational distribution of ubiquitin by peptide acidity.

Authors:  Griselda Hernández; Janet S Anderson; David M LeMaster
Journal:  Biophys Chem       Date:  2010-10-15       Impact factor: 2.352

7.  The structure of human ubiquitin in 2-methyl-2,4-pentanediol: a new conformational switch.

Authors:  Kuo Ying Huang; Gabriele A Amodeo; Liang Tong; Ann McDermott
Journal:  Protein Sci       Date:  2011-03       Impact factor: 6.725

8.  Characterization of proteins with wide-angle X-ray solution scattering (WAXS).

Authors:  Lee Makowski
Journal:  J Struct Funct Genomics       Date:  2010-01-05

9.  The MUMO (minimal under-restraining minimal over-restraining) method for the determination of native state ensembles of proteins.

Authors:  Barbara Richter; Joerg Gsponer; Péter Várnai; Xavier Salvatella; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2007-01-16       Impact factor: 2.835

10.  Improved cross validation of a static ubiquitin structure derived from high precision residual dipolar couplings measured in a drug-based liquid crystalline phase.

Authors:  Alexander S Maltsev; Alexander Grishaev; Julien Roche; Michael Zasloff; Ad Bax
Journal:  J Am Chem Soc       Date:  2014-03-03       Impact factor: 15.419

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  1 in total

1.  Cross-correlated relaxation rates between protein backbone H-X dipolar interactions.

Authors:  Beat Vögeli
Journal:  J Biomol NMR       Date:  2017-03-12       Impact factor: 2.835

  1 in total

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