Literature DB >> 22988857

Using NMR chemical shifts to calculate the propensity for structural order and disorder in proteins.

Kamil Tamiola1, Frans A A Mulder.   

Abstract

NMR spectroscopy offers the unique possibility to relate the structural propensities of disordered proteins and loop segments of folded peptides to biological function and aggregation behaviour. Backbone chemical shifts are ideally suited for this task, provided that appropriate reference data are available and idiosyncratic sensitivity of backbone chemical shifts to structural information is treated in a sensible manner. In the present paper, we describe methods to detect structural protein changes from chemical shifts, and present an online tool [ncSPC (neighbour-corrected Structural Propensity Calculator)], which unites aspects of several current approaches. Examples of structural propensity calculations are given for two well-characterized systems, namely the binding of α-synuclein to micelles and light activation of photoactive yellow protein. These examples spotlight the great power of NMR chemical shift analysis for the quantitative assessment of protein disorder at the atomic level, and further our understanding of biologically important problems.

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Year:  2012        PMID: 22988857     DOI: 10.1042/BST20120171

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  46 in total

1.  Mapping the conformation of a client protein through the Hsp70 functional cycle.

Authors:  Ashok Sekhar; Rina Rosenzweig; Guillaume Bouvignies; Lewis E Kay
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-03       Impact factor: 11.205

2.  Optimized co-solute paramagnetic relaxation enhancement for the rapid NMR analysis of a highly fibrillogenic peptide.

Authors:  Nur Alia Oktaviani; Michael W Risør; Young-Ho Lee; Rik P Megens; Djurre H de Jong; Renee Otten; Ruud M Scheek; Jan J Enghild; Niels Chr Nielsen; Takahisa Ikegami; Frans A A Mulder
Journal:  J Biomol NMR       Date:  2015-03-28       Impact factor: 2.835

3.  MOAG-4 promotes the aggregation of α-synuclein by competing with self-protective electrostatic interactions.

Authors:  Yuichi Yoshimura; Mats A Holmberg; Predrag Kukic; Camilla B Andersen; Alejandro Mata-Cabana; S Fabio Falsone; Michele Vendruscolo; Ellen A A Nollen; Frans A A Mulder
Journal:  J Biol Chem       Date:  2017-03-23       Impact factor: 5.157

4.  Active-Site pKa Determination for Photoactive Yellow Protein Rationalizes Slow Ground-State Recovery.

Authors:  Nur Alia Oktaviani; Trijntje J Pool; Yuichi Yoshimura; Hironari Kamikubo; Ruud M Scheek; Mikio Kataoka; Frans A A Mulder
Journal:  Biophys J       Date:  2017-05-23       Impact factor: 4.033

5.  Using NMR Chemical Shifts to Determine Residue-Specific Secondary Structure Populations for Intrinsically Disordered Proteins.

Authors:  Wade M Borcherds; Gary W Daughdrill
Journal:  Methods Enzymol       Date:  2018-10-22       Impact factor: 1.600

6.  Archaic and alternative chaperones preserve pilin folding energy by providing incomplete structural information.

Authors:  Natalia Pakharukova; Sophie McKenna; Minna Tuittila; Sari Paavilainen; Henri Malmi; Yingqi Xu; Olena Parilova; Steve Matthews; Anton V Zavialov
Journal:  J Biol Chem       Date:  2018-09-18       Impact factor: 5.157

7.  Opposing effects of Elk-1 multisite phosphorylation shape its response to ERK activation.

Authors:  Anastasia Mylona; Francois-Xavier Theillet; Charles Foster; Tammy M Cheng; Francesc Miralles; Paul A Bates; Philipp Selenko; Richard Treisman
Journal:  Science       Date:  2016-10-14       Impact factor: 47.728

8.  Improving the chemical shift dispersion of multidimensional NMR spectra of intrinsically disordered proteins.

Authors:  Wolfgang Bermel; Marta Bruix; Isabella C Felli; Vasantha Kumar M V; Roberta Pierattelli; Soraya Serrano
Journal:  J Biomol NMR       Date:  2013-01-12       Impact factor: 2.835

9.  Conformational Dynamics of the Partially Disordered Yeast Transcription Factor GCN4.

Authors:  Paul Robustelli; Nikola Trbovic; Richard A Friesner; Arthur G Palmer
Journal:  J Chem Theory Comput       Date:  2013-11-01       Impact factor: 6.006

10.  POTENCI: prediction of temperature, neighbor and pH-corrected chemical shifts for intrinsically disordered proteins.

Authors:  Jakob Toudahl Nielsen; Frans A A Mulder
Journal:  J Biomol NMR       Date:  2018-02-05       Impact factor: 2.835

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