Literature DB >> 22747188

Slow unfolded-state structuring in Acyl-CoA binding protein folding revealed by simulation and experiment.

Vincent A Voelz1, Marcus Jäger, Shuhuai Yao, Yujie Chen, Li Zhu, Steven A Waldauer, Gregory R Bowman, Mark Friedrichs, Olgica Bakajin, Lisa J Lapidus, Shimon Weiss, Vijay S Pande.   

Abstract

Protein folding is a fundamental process in biology, key to understanding many human diseases. Experimentally, proteins often appear to fold via simple two- or three-state mechanisms involving mainly native-state interactions, yet recent network models built from atomistic simulations of small proteins suggest the existence of many possible metastable states and folding pathways. We reconcile these two pictures in a combined experimental and simulation study of acyl-coenzyme A binding protein (ACBP), a two-state folder (folding time ~10 ms) exhibiting residual unfolded-state structure, and a putative early folding intermediate. Using single-molecule FRET in conjunction with side-chain mutagenesis, we first demonstrate that the denatured state of ACBP at near-zero denaturant is unusually compact and enriched in long-range structure that can be perturbed by discrete hydrophobic core mutations. We then employ ultrafast laminar-flow mixing experiments to study the folding kinetics of ACBP on the microsecond time scale. These studies, along with Trp-Cys quenching measurements of unfolded-state dynamics, suggest that unfolded-state structure forms on a surprisingly slow (~100 μs) time scale, and that sequence mutations strikingly perturb both time-resolved and equilibrium smFRET measurements in a similar way. A Markov state model (MSM) of the ACBP folding reaction, constructed from over 30 ms of molecular dynamics trajectory data, predicts a complex network of metastable stables, residual unfolded-state structure, and kinetics consistent with experiment but no well-defined intermediate preceding the main folding barrier. Taken together, these experimental and simulation results suggest that the previously characterized fast kinetic phase is not due to formation of a barrier-limited intermediate but rather to a more heterogeneous and slow acquisition of unfolded-state structure.

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Year:  2012        PMID: 22747188      PMCID: PMC3462454          DOI: 10.1021/ja302528z

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  63 in total

1.  A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

Authors:  Yong Duan; Chun Wu; Shibasish Chowdhury; Mathew C Lee; Guoming Xiong; Wei Zhang; Rong Yang; Piotr Cieplak; Ray Luo; Taisung Lee; James Caldwell; Junmei Wang; Peter Kollman
Journal:  J Comput Chem       Date:  2003-12       Impact factor: 3.376

2.  How fast-folding proteins fold.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Ron O Dror; David E Shaw
Journal:  Science       Date:  2011-10-28       Impact factor: 47.728

3.  Protein folded states are kinetic hubs.

Authors:  Gregory R Bowman; Vijay S Pande
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-01       Impact factor: 11.205

4.  Protein-protein interactions as a tool for site-specific labeling of proteins.

Authors:  Marcus Jäger; Xavier Michalet; Shimon Weiss
Journal:  Protein Sci       Date:  2005-06-29       Impact factor: 6.725

5.  Coarse master equations for peptide folding dynamics.

Authors:  Nicolae-Viorel Buchete; Gerhard Hummer
Journal:  J Phys Chem B       Date:  2008-01-31       Impact factor: 2.991

6.  Kinetics of intramolecular contact formation in a denatured protein.

Authors:  Marco Buscaglia; Benjamin Schuler; Lisa J Lapidus; William A Eaton; James Hofrichter
Journal:  J Mol Biol       Date:  2003-09-05       Impact factor: 5.469

7.  Bayesian comparison of Markov models of molecular dynamics with detailed balance constraint.

Authors:  Sergio Bacallado; John D Chodera; Vijay Pande
Journal:  J Chem Phys       Date:  2009-07-28       Impact factor: 3.488

8.  Markov state model reveals folding and functional dynamics in ultra-long MD trajectories.

Authors:  Thomas J Lane; Gregory R Bowman; Kyle Beauchamp; Vincent A Voelz; Vijay S Pande
Journal:  J Am Chem Soc       Date:  2011-10-26       Impact factor: 15.419

Review 9.  How, when and why proteins collapse: the relation to folding.

Authors:  Gilad Haran
Journal:  Curr Opin Struct Biol       Date:  2011-11-19       Impact factor: 6.809

10.  Protein folding, protein collapse, and tanford's transfer model: lessons from single-molecule FRET.

Authors:  Guy Ziv; Gilad Haran
Journal:  J Am Chem Soc       Date:  2009-03-04       Impact factor: 15.419

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  54 in total

1.  Quantitative assessments of the distinct contributions of polypeptide backbone amides versus side chain groups to chain expansion via chemical denaturation.

Authors:  Alex S Holehouse; Kanchan Garai; Nicholas Lyle; Andreas Vitalis; Rohit V Pappu
Journal:  J Am Chem Soc       Date:  2015-02-23       Impact factor: 15.419

2.  A quantitative measure for protein conformational heterogeneity.

Authors:  Nicholas Lyle; Rahul K Das; Rohit V Pappu
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

3.  Perspective: Reaches of chemical physics in biology.

Authors:  Martin Gruebele; D Thirumalai
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

4.  Commonly used FRET fluorophores promote collapse of an otherwise disordered protein.

Authors:  Joshua A Riback; Micayla A Bowman; Adam M Zmyslowski; Kevin W Plaxco; Patricia L Clark; Tobin R Sosnick
Journal:  Proc Natl Acad Sci U S A       Date:  2019-04-16       Impact factor: 11.205

5.  Optimized parameter selection reveals trends in Markov state models for protein folding.

Authors:  Brooke E Husic; Robert T McGibbon; Mohammad M Sultan; Vijay S Pande
Journal:  J Chem Phys       Date:  2016-11-21       Impact factor: 3.488

6.  Integrated view of internal friction in unfolded proteins from single-molecule FRET, contact quenching, theory, and simulations.

Authors:  Andrea Soranno; Andrea Holla; Fabian Dingfelder; Daniel Nettels; Dmitrii E Makarov; Benjamin Schuler
Journal:  Proc Natl Acad Sci U S A       Date:  2017-02-21       Impact factor: 11.205

Review 7.  To milliseconds and beyond: challenges in the simulation of protein folding.

Authors:  Thomas J Lane; Diwakar Shukla; Kyle A Beauchamp; Vijay S Pande
Journal:  Curr Opin Struct Biol       Date:  2012-12-10       Impact factor: 6.809

8.  Atomic-level description of ubiquitin folding.

Authors:  Stefano Piana; Kresten Lindorff-Larsen; David E Shaw
Journal:  Proc Natl Acad Sci U S A       Date:  2013-03-15       Impact factor: 11.205

9.  Native states of fast-folding proteins are kinetic traps.

Authors:  Alex Dickson; Charles L Brooks
Journal:  J Am Chem Soc       Date:  2013-03-15       Impact factor: 15.419

10.  Effects of Mutations on the Reconfiguration Rate of α-Synuclein.

Authors:  Srabasti Acharya; Shreya Saha; Basir Ahmad; Lisa J Lapidus
Journal:  J Phys Chem B       Date:  2015-12-04       Impact factor: 2.991

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