Literature DB >> 21639128

Using chemical shifts to determine structural changes in proteins upon complex formation.

Andrea Cavalli1, Rinaldo W Montalvao, Michele Vendruscolo.   

Abstract

Methods for determining protein structures using only chemical shift information are progressively becoming more accurate and reliable. A major problem, however, in the use of chemical shifts for the determination of the structures of protein complexes is that the changes in the chemical shifts upon binding tend to be rather limited and indeed often smaller than the standard errors made in the predictions of chemical shifts corresponding to given structures. We present a procedure that, despite this problem, enables one to use of chemical shifts to determine accurately the conformational changes that take place upon complex formation.

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Year:  2011        PMID: 21639128     DOI: 10.1021/jp202647q

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  8 in total

1.  Analysis of the performance of the CHESHIRE and YAPP methods at CASD-NMR round 3.

Authors:  Andrea Cavalli; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2015-05-20       Impact factor: 2.835

Review 2.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

Review 3.  Chemical shift-based methods in NMR structure determination.

Authors:  Santrupti Nerli; Andrew C McShan; Nikolaos G Sgourakis
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2018-03-11       Impact factor: 9.795

Review 4.  Hybrid Approaches to Structural Characterization of Conformational Ensembles of Complex Macromolecular Systems Combining NMR Residual Dipolar Couplings and Solution X-ray Scattering.

Authors:  Vincenzo Venditti; Timothy K Egner; G Marius Clore
Journal:  Chem Rev       Date:  2016-01-07       Impact factor: 60.622

Review 5.  Practical aspects of NMR signal assignment in larger and challenging proteins.

Authors:  Dominique P Frueh
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2013-12-15       Impact factor: 9.795

6.  NightShift: NMR shift inference by general hybrid model training--a framework for NMR chemical shift prediction.

Authors:  Anna Katharina Dehof; Simon Loew; Hans-Peter Lenhof; Andreas Hildebrandt
Journal:  BMC Bioinformatics       Date:  2013-03-16       Impact factor: 3.169

Review 7.  Modeling of Disordered Protein Structures Using Monte Carlo Simulations and Knowledge-Based Statistical Force Fields.

Authors:  Maciej Pawel Ciemny; Aleksandra Elzbieta Badaczewska-Dawid; Monika Pikuzinska; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Int J Mol Sci       Date:  2019-01-31       Impact factor: 5.923

Review 8.  Allosteric Regulation at the Crossroads of New Technologies: Multiscale Modeling, Networks, and Machine Learning.

Authors:  Gennady M Verkhivker; Steve Agajanian; Guang Hu; Peng Tao
Journal:  Front Mol Biosci       Date:  2020-07-09
  8 in total

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