Literature DB >> 25140430

Complex pathways in folding of protein G explored by simulation and experiment.

Lisa J Lapidus1, Srabasti Acharya2, Christian R Schwantes3, Ling Wu2, Diwakar Shukla4, Michael King2, Stephen J DeCamp2, Vijay S Pande5.   

Abstract

The B1 domain of protein G has been a classic model system of folding for decades, the subject of numerous experimental and computational studies. Most of the experimental work has focused on whether the protein folds via an intermediate, but the evidence is mostly limited to relatively slow kinetic observations with a few structural probes. In this work we observe folding on the submillisecond timescale with microfluidic mixers using a variety of probes including tryptophan fluorescence, circular dichroism, and photochemical oxidation. We find that each probe yields different kinetics and compare these observations with a Markov State Model constructed from large-scale molecular dynamics simulations and find a complex network of states that yield different kinetics for different observables. We conclude that there are many folding pathways before the final folding step and that these paths do not have large free energy barriers.
Copyright © 2014 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25140430      PMCID: PMC4147789          DOI: 10.1016/j.bpj.2014.06.037

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


  33 in total

1.  Critical role of beta-hairpin formation in protein G folding.

Authors:  E L McCallister; E Alm; D Baker
Journal:  Nat Struct Biol       Date:  2000-08

2.  Extremely slow intramolecular diffusion in unfolded protein L.

Authors:  Steven A Waldauer; Olgica Bakajin; Lisa J Lapidus
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-19       Impact factor: 11.205

3.  Exploring the helix-coil transition via all-atom equilibrium ensemble simulations.

Authors:  Eric J Sorin; Vijay S Pande
Journal:  Biophys J       Date:  2005-01-21       Impact factor: 4.033

4.  Femtomole mixer for microsecond kinetic studies of protein folding.

Authors:  David E Hertzog; Xavier Michalet; Marcus Jäger; Xiangxu Kong; Juan G Santiago; Shimon Weiss; Olgica Bakajin
Journal:  Anal Chem       Date:  2004-12-15       Impact factor: 6.986

5.  Ruggedness in the folding landscape of protein L.

Authors:  Steven A Waldauer; Olgica Bakajin; Terry Ball; Yujie Chen; Stephen J Decamp; Michaela Kopka; Marcus Jäger; Vijay R Singh; William J Wedemeyer; Shimon Weiss; Shuhuai Yao; Lisa J Lapidus
Journal:  HFSP J       Date:  2008-11-14

6.  Probing the origins of two-state folding.

Authors:  Thomas J Lane; Christian R Schwantes; Kyle A Beauchamp; Vijay S Pande
Journal:  J Chem Phys       Date:  2013-10-14       Impact factor: 3.488

7.  An early intermediate in the folding reaction of the B1 domain of protein G contains a native-like core.

Authors:  S H Park; K T O'Neil; H Roder
Journal:  Biochemistry       Date:  1997-11-25       Impact factor: 3.162

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

9.  Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.

Authors:  W Kabsch; C Sander
Journal:  Biopolymers       Date:  1983-12       Impact factor: 2.505

10.  Dynamic similarity of the unfolded states of proteins L and G.

Authors:  Vijay R Singh; Michaela Kopka; Yujie Chen; William J Wedemeyer; Lisa J Lapidus
Journal:  Biochemistry       Date:  2007-08-08       Impact factor: 3.162

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  13 in total

1.  Asynchronous Replica Exchange Software for Grid and Heterogeneous Computing.

Authors:  Emilio Gallicchio; Junchao Xia; William F Flynn; Baofeng Zhang; Sade Samlalsingh; Ahmet Mentes; Ronald M Levy
Journal:  Comput Phys Commun       Date:  2015-11       Impact factor: 4.390

2.  A network of molecular switches controls the activation of the two-component response regulator NtrC.

Authors:  Dan K Vanatta; Diwakar Shukla; Morgan Lawrenz; Vijay S Pande
Journal:  Nat Commun       Date:  2015-06-15       Impact factor: 14.919

3.  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

4.  Perspective: Markov models for long-timescale biomolecular dynamics.

Authors:  C R Schwantes; R T McGibbon; V S Pande
Journal:  J Chem Phys       Date:  2014-09-07       Impact factor: 3.488

Review 5.  Water as a Good Solvent for Unfolded Proteins: Folding and Collapse are Fundamentally Different.

Authors:  Patricia L Clark; Kevin W Plaxco; Tobin R Sosnick
Journal:  J Mol Biol       Date:  2020-02-07       Impact factor: 5.469

6.  Unsupervised Learning Methods for Molecular Simulation Data.

Authors:  Aldo Glielmo; Brooke E Husic; Alex Rodriguez; Cecilia Clementi; Frank Noé; Alessandro Laio
Journal:  Chem Rev       Date:  2021-05-04       Impact factor: 60.622

7.  Mapping the Geometric Evolution of Protein Folding Motor.

Authors:  Gaurav Jerath; Prakash Kishore Hazam; Shashi Shekhar; Vibin Ramakrishnan
Journal:  PLoS One       Date:  2016-10-07       Impact factor: 3.240

8.  Theoretical Insights into the Biophysics of Protein Bi-stability and Evolutionary Switches.

Authors:  Tobias Sikosek; Heinrich Krobath; Hue Sun Chan
Journal:  PLoS Comput Biol       Date:  2016-06-02       Impact factor: 4.475

Review 9.  Emerging Computational Methods for the Rational Discovery of Allosteric Drugs.

Authors:  Jeffrey R Wagner; Christopher T Lee; Jacob D Durrant; Robert D Malmstrom; Victoria A Feher; Rommie E Amaro
Journal:  Chem Rev       Date:  2016-04-13       Impact factor: 60.622

10.  Modeling molecular kinetics with tICA and the kernel trick.

Authors:  Christian R Schwantes; Vijay S Pande
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

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