Deconvoluting Protein (Un)folding Structural Ensembles Using X-Ray Scattering, Nuclear Magnetic Resonance Spectroscopy and Molecular Dynamics Simulation-Reference-Cited by-同舟云学术

Deconvoluting Protein (Un)folding Structural Ensembles Using X-Ray Scattering, Nuclear Magnetic Resonance Spectroscopy and Molecular Dynamics Simulation

Published:2015-05-06 Issue:5 Volume:10 Page:e0125662
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Nasedkin Alexandr,Marcellini Moreno,Religa Tomasz L.,Freund Stefan M.,Menzel Andreas,Fersht Alan R.,Jemth Per,van der Spoel David,Davidsson Jan

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference57 articles.

1. Spin glasses and the statistical mechanics of protein folding;JD Bryngelson;P Natl Acad Sci USA,1987

2. Funnels, pathways, and the energy landscape of protein folding: A synthesis;JD Bryngelson;Proteins,1995

3. The experimental survey of protein-folding energy landscapes;M Oliveberg;Q Rev Biophys,2005

4. Demonstration of a low-energy on-pathway intermediate in a fast-folding protein by kinetics, protein engineering, and simulation;P Jemth;P Natl Acad Sci USA,2004

5. Rapid folding with and without populated intermediates in the homologous four-helix proteins Im7 and Im9;N Ferguson;J Mol Biol,1999

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