Literature DB >> 22737279

Structural Characterization of λ-Repressor Folding from All-Atom Molecular Dynamics Simulations.

Yanxin Liu1, Johan Strümpfer, Peter L Freddolino, Martin Gruebele, Klaus Schulten.   

Abstract

The five-helix bundle λ-repressor fragment is a fast-folding protein. A length of 80 amino acid residues puts it on the large end among all known microsecond folders and its size poses a computational challenge for molecular dynamics (MD) studies. We simulated the folding of a novel λ-repressor fast-folding mutant (λ-HG) in explicit solvent using an all-atom description. By means of a recently developed tempering method, we observed reversible folding and unfolding of λ-repressor in a 10-microsecond trajectory. The folding kinetics was also investigated through a set of MD simulations run at different temperatures that together covered more than 125 microseconds. The protein was seen to fold into a native-like topology at intermediate temperature and a slow-folding pathway was identified. The simulations suggest new experimental observables for better monitoring the folding process, and a novel mutation expected to accelerate λ-repressor folding.

Entities:  

Year:  2012        PMID: 22737279      PMCID: PMC3377354          DOI: 10.1021/jz300017c

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  39 in total

1.  Variations in the fast folding rates of the lambda-repressor: a hybrid molecular dynamics study.

Authors:  Taras V Pogorelov; Zaida Luthey-Schulten
Journal:  Biophys J       Date:  2004-07       Impact factor: 4.033

Review 2.  Empirical force fields for biological macromolecules: overview and issues.

Authors:  Alexander D Mackerell
Journal:  J Comput Chem       Date:  2004-10       Impact factor: 3.376

3.  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

4.  Atomistic folding simulations of the five-helix bundle protein λ(6−85).

Authors:  Gregory R Bowman; Vincent A Voelz; Vijay S Pande
Journal:  J Am Chem Soc       Date:  2011-02-02       Impact factor: 15.419

5.  The fast and the slow: folding and trapping of λ6-85.

Authors:  Maxim B Prigozhin; Martin Gruebele
Journal:  J Am Chem Soc       Date:  2011-11-14       Impact factor: 15.419

6.  Solvent-tuning the collapse and helix formation time scales of lambda(6-85)*.

Authors:  Charles Dumont; Yoshitaka Matsumura; Seung Joong Kim; Jinsong Li; Elena Kondrashkina; Hiroshi Kihara; Martin Gruebele
Journal:  Protein Sci       Date:  2006-11       Impact factor: 6.725

7.  Force field bias in protein folding simulations.

Authors:  Peter L Freddolino; Sanghyun Park; Benoît Roux; Klaus Schulten
Journal:  Biophys J       Date:  2009-05-06       Impact factor: 4.033

8.  Error and efficiency of replica exchange molecular dynamics simulations.

Authors:  Edina Rosta; Gerhard Hummer
Journal:  J Chem Phys       Date:  2009-10-28       Impact factor: 3.488

9.  Microsecond simulations of the folding/unfolding thermodynamics of the Trp-cage miniprotein.

Authors:  Ryan Day; Dietmar Paschek; Angel E Garcia
Journal:  Proteins       Date:  2010-06

10.  Going beyond clustering in MD trajectory analysis: an application to villin headpiece folding.

Authors:  Aruna Rajan; Peter L Freddolino; Klaus Schulten
Journal:  PLoS One       Date:  2010-04-15       Impact factor: 3.240

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  21 in total

1.  The Surface of Protein λ6-85 Can Act as a Template for Recurring Poly(ethylene glycol) Structure.

Authors:  Shu-Han Chao; Jan Schäfer; Martin Gruebele
Journal:  Biochemistry       Date:  2017-10-06       Impact factor: 3.162

Review 2.  Enhanced sampling techniques in molecular dynamics simulations of biological systems.

Authors:  Rafael C Bernardi; Marcelo C R Melo; Klaus Schulten
Journal:  Biochim Biophys Acta       Date:  2014-10-23

3.  Mapping fast protein folding with multiple-site fluorescent probes.

Authors:  Maxim B Prigozhin; Shu-Han Chao; Shahar Sukenik; Taras V Pogorelov; Martin Gruebele
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-15       Impact factor: 11.205

4.  Benchmarking all-atom simulations using hydrogen exchange.

Authors:  John J Skinner; Wookyung Yu; Elizabeth K Gichana; Michael C Baxa; James R Hinshaw; Karl F Freed; Tobin R Sosnick
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-27       Impact factor: 11.205

Review 5.  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

6.  De novo prediction of protein folding pathways and structure using the principle of sequential stabilization.

Authors:  Aashish N Adhikari; Karl F Freed; Tobin R Sosnick
Journal:  Proc Natl Acad Sci U S A       Date:  2012-10-08       Impact factor: 11.205

7.  Misplaced helix slows down ultrafast pressure-jump protein folding.

Authors:  Maxim B Prigozhin; Yanxin Liu; Anna Jean Wirth; Shobhna Kapoor; Roland Winter; Klaus Schulten; Martin Gruebele
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-25       Impact factor: 11.205

8.  Parallel continuous simulated tempering and its applications in large-scale molecular simulations.

Authors:  Tianwu Zang; Linglin Yu; Chong Zhang; Jianpeng Ma
Journal:  J Chem Phys       Date:  2014-07-28       Impact factor: 3.488

Review 9.  Protein dynamics via computational microscope.

Authors:  Anton B Guliaev; Senping Cheng; Bo Hang
Journal:  World J Methodol       Date:  2012-12-26

10.  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

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