Literature DB >> 16799571

Atom-by-atom analysis of global downhill protein folding.

Mourad Sadqi1, David Fushman, Victor Muñoz.   

Abstract

Protein folding is an inherently complex process involving coordination of the intricate networks of weak interactions that stabilize native three-dimensional structures. In the conventional paradigm, simple protein structures are assumed to fold in an all-or-none process that is inaccessible to experiment. Existing experimental methods therefore probe folding mechanisms indirectly. A widely used approach interprets changes in protein stability and/or folding kinetics, induced by engineered mutations, in terms of the structure of the native protein. In addition to limitations in connecting energetics with structure, mutational methods have significant experimental uncertainties and are unable to map complex networks of interactions. In contrast, analytical theory predicts small barriers to folding and the possibility of downhill folding. These theoretical predictions have been confirmed experimentally in recent years, including the observation of global downhill folding. However, a key remaining question is whether downhill folding can indeed lead to the high-resolution analysis of protein folding processes. Here we show, with the use of nuclear magnetic resonance (NMR), that the downhill protein BBL from Escherichia coli unfolds atom by atom starting from a defined three-dimensional structure. Thermal unfolding data on 158 backbone and side-chain protons out of a total of 204 provide a detailed view of the structural events during folding. This view confirms the statistical nature of folding, and exposes the interplay between hydrogen bonding, hydrophobic forces, backbone conformation and side-chain entropy. From the data we also obtain a map of the interaction network in this protein, which reveals the source of folding cooperativity. Our approach can be extended to other proteins with marginal barriers (less than 3RT), providing a new tool for the study of protein folding.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16799571     DOI: 10.1038/nature04859

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  85 in total

1.  Is a malleable protein necessarily highly dynamic? The hydrophobic core of the nuclear coactivator binding domain is well ordered.

Authors:  Magnus Kjaergaard; Flemming M Poulsen; Kaare Teilum
Journal:  Biophys J       Date:  2012-04-03       Impact factor: 4.033

2.  The effect of electrostatics on the marginal cooperativity of an ultrafast folding protein.

Authors:  Tanay M Desai; Michele Cerminara; Mourad Sadqi; Victor Muñoz
Journal:  J Biol Chem       Date:  2010-08-22       Impact factor: 5.157

3.  Insights into protein folding mechanisms from large scale analysis of mutational effects.

Authors:  Athi N Naganathan; Victor Muñoz
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-23       Impact factor: 11.205

4.  Folding simulations of a de novo designed protein with a betaalphabeta fold.

Authors:  Yifei Qi; Yongqi Huang; Huanhuan Liang; Zhirong Liu; Luhua Lai
Journal:  Biophys J       Date:  2010-01-20       Impact factor: 4.033

5.  Sequence, structure, and cooperativity in folding of elementary protein structural motifs.

Authors:  Jason K Lai; Ginka S Kubelka; Jan Kubelka
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-27       Impact factor: 11.205

Review 6.  Dynamics, energetics, and structure in protein folding.

Authors:  Athi N Naganathan; Urmi Doshi; Adam Fung; Mourad Sadqi; Victor Muñoz
Journal:  Biochemistry       Date:  2006-07-18       Impact factor: 3.162

Review 7.  A backbone-based theory of protein folding.

Authors:  George D Rose; Patrick J Fleming; Jayanth R Banavar; Amos Maritan
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-30       Impact factor: 11.205

8.  Axis-dependent anisotropy in protein unfolding from integrated nonequilibrium single-molecule experiments, analysis, and simulation.

Authors:  Rene A Nome; Jason Ming Zhao; Wouter D Hoff; Norbert F Scherer
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-19       Impact factor: 11.205

9.  Predicting coupling limits from an experimentally determined energy landscape.

Authors:  Timothy O Street; Christina M Bradley; Doug Barrick
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-14       Impact factor: 11.205

10.  Theory for protein folding cooperativity: helix bundles.

Authors:  Kingshuk Ghosh; K A Dill
Journal:  J Am Chem Soc       Date:  2009-02-18       Impact factor: 15.419

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.