Literature DB >> 24077053

Effect of interactions with the chaperonin cavity on protein folding and misfolding.

Anshul Sirur1, Michael Knott, Robert B Best.   

Abstract

Recent experimental and computational results have suggested that attractive interactions between a chaperonin and an enclosed substrate can have an important effect on the protein folding rate: it appears that folding may even be slower inside the cavity than under unconfined conditions, in contrast to what we would expect from excluded volume effects on the unfolded state. Here we examine systematically the dependence of the protein stability and folding rate on the strength of such attractive interactions between the chaperonin and substrate, by using molecular simulations of model protein systems in an idealised attractive cavity. Interestingly, we find a maximum in stability, and a rate which indeed slows down at high attraction strengths. We have developed a simple phenomenological model which can explain the variations in folding rate and stability due to differing effects on the free energies of the unfolded state, folded state, and transition state; changes in the diffusion coefficient along the folding coordinate are relatively small, at least for our simplified model. In order to investigate a possible role for these attractive interactions in folding, we have studied a recently developed model for misfolding in multidomain proteins. We find that, while encapsulation in repulsive cavities greatly increases the fraction of misfolded protein, sufficiently strong attractive protein-cavity interactions can strongly reduce the fraction of proteins reaching misfolded traps.

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Year:  2013        PMID: 24077053      PMCID: PMC4577569          DOI: 10.1039/c3cp52872c

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  48 in total

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Journal:  Annu Rev Biophys Biomol Struct       Date:  2001

2.  Mapping the folding pathway of an immunoglobulin domain: structural detail from Phi value analysis and movement of the transition state.

Authors:  S B Fowler; J Clarke
Journal:  Structure       Date:  2001-05-09       Impact factor: 5.006

3.  Rapid cooperative two-state folding of a miniature alpha-beta protein and design of a thermostable variant.

Authors:  Jia-Cherng Horng; Viktor Moroz; Daniel P Raleigh
Journal:  J Mol Biol       Date:  2003-02-28       Impact factor: 5.469

4.  Reaction coordinates and rates from transition paths.

Authors:  Robert B Best; Gerhard Hummer
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-06       Impact factor: 11.205

Review 5.  Recent successes of the energy landscape theory of protein folding and function.

Authors:  P G Wolynes
Journal:  Q Rev Biophys       Date:  2005-11       Impact factor: 5.318

6.  Coarse-grained models for simulations of multiprotein complexes: application to ubiquitin binding.

Authors:  Young C Kim; Gerhard Hummer
Journal:  J Mol Biol       Date:  2007-11-28       Impact factor: 5.469

7.  Ribosomal protein L9: a structure determination by the combined use of X-ray crystallography and NMR spectroscopy.

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Journal:  J Mol Biol       Date:  1996-12-20       Impact factor: 5.469

8.  Solution structure of the albumin-binding GA module: a versatile bacterial protein domain.

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Journal:  J Mol Biol       Date:  1997-03-14       Impact factor: 5.469

9.  How does a protein fold?

Authors:  A Sali; E Shakhnovich; M Karplus
Journal:  Nature       Date:  1994-05-19       Impact factor: 49.962

10.  Two crystal structures of the B1 immunoglobulin-binding domain of streptococcal protein G and comparison with NMR.

Authors:  T Gallagher; P Alexander; P Bryan; G L Gilliland
Journal:  Biochemistry       Date:  1994-04-19       Impact factor: 3.162

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  6 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-09       Impact factor: 11.205

5.  The ribosome modulates folding inside the ribosomal exit tunnel.

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Journal:  Commun Biol       Date:  2021-05-05

Review 6.  Knotted proteins: A tangled tale of Structural Biology.

Authors:  Patrícia F N Faísca
Journal:  Comput Struct Biotechnol J       Date:  2015-08-19       Impact factor: 7.271

  6 in total

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