Literature DB >> 20483336

The folding transition-state ensemble of a four-helix bundle protein: helix propensity as a determinant and macromolecular crowding as a probe.

Harianto Tjong1, Huan-Xiang Zhou.   

Abstract

The four-helix bundle protein Rd-apocyt b(562), a redesigned stable variant of apocytochrome b(562), exhibits two-state folding kinetics. Its transition-state ensemble has been characterized by Phi-value analysis. To elucidate the molecular basis of the transition-state ensemble, we have carried out high-temperature molecular dynamics simulations of the unfolding process. In six parallel simulations, unfolding started with the melting of helix I and the C-terminal half of helix IV, and followed by helix III, the N-terminal half of helix IV and helix II. This ordered melting of the helices is consistent with the conclusion from native-state hydrogen exchange, and can be rationalized by differences in intrinsic helix propensity. Guided by experimental Phi-values, a putative transition-state ensemble was extracted from the simulations. The residue helical probabilities of this transition-state ensemble show good correlation with the Phi-values. To further validate the putative transition-state ensemble, the effect of macromolecular crowding on the relative stability between the unfolded ensemble and the transition-state ensemble was calculated. The resulting effect of crowding on the folding kinetics agrees well with experimental observations. This study shows that molecular dynamics simulations combined with calculation of crowding effects provide an avenue for characterize the transition-state ensemble in atomic details. Copyright 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20483336      PMCID: PMC2872220          DOI: 10.1016/j.bpj.2010.01.052

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  58 in total

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5.  Similarity and difference in the unfolding of thermophilic and mesophilic cold shock proteins studied by molecular dynamics simulations.

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6.  Application of principal component analysis in protein unfolding: an all-atom molecular dynamics simulation study.

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Authors:  Daniel L Ensign; Peter M Kasson; Vijay S Pande
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9.  Characterization of the transition state of protein unfolding by use of molecular dynamics: chymotrypsin inhibitor 2.

Authors:  A Li; V Daggett
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10.  15N NMR spin relaxation dispersion study of the molecular crowding effects on protein folding under native conditions.

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Journal:  J Am Chem Soc       Date:  2006-03-29       Impact factor: 15.419

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  15 in total

1.  Generalized fundamental measure theory for atomistic modeling of macromolecular crowding.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-03-26

2.  Network representation of conformational transitions between hidden intermediates of Rd-apocytochrome b562.

Authors:  Mojie Duan; Hanzhong Liu; Minghai Li; Shuanghong Huo
Journal:  J Chem Phys       Date:  2015-10-07       Impact factor: 3.488

3.  Quantification of excluded volume effects on the folding landscape of Pseudomonas aeruginosa apoazurin in vitro.

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4.  A method for computing association rate constants of atomistically represented proteins under macromolecular crowding.

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Review 5.  Protein folding, binding, and droplet formation in cell-like conditions.

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6.  Effects of Macromolecular Crowding on the Conformational Ensembles of Disordered Proteins.

Authors:  Sanbo Qin; Huan-Xiang Zhou
Journal:  J Phys Chem Lett       Date:  2013-10-17       Impact factor: 6.475

7.  Effects of macromolecular crowding on protein conformational changes.

Authors:  Hao Dong; Sanbo Qin; Huan-Xiang Zhou
Journal:  PLoS Comput Biol       Date:  2010-07-01       Impact factor: 4.475

8.  Simulation and Modeling of Crowding Effects on the Thermodynamic and Kinetic Properties of Proteins with Atomic Details.

Authors:  Huan-Xiang Zhou; Sanbo Qin
Journal:  Biophys Rev       Date:  2013-06-01

Review 9.  Influence of crowded cellular environments on protein folding, binding, and oligomerization: biological consequences and potentials of atomistic modeling.

Authors:  Huan-Xiang Zhou
Journal:  FEBS Lett       Date:  2013-02-05       Impact factor: 4.124

10.  Folding free energy surfaces of three small proteins under crowding: validation of the postprocessing method by direct simulation.

Authors:  Sanbo Qin; Jeetain Mittal; Huan-Xiang Zhou
Journal:  Phys Biol       Date:  2013-08-02       Impact factor: 2.583

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