Literature DB >> 25489078

Folding kinetics of WW domains with the united residue force field for bridging microscopic motions and experimental measurements.

Rui Zhou1, Gia G Maisuradze2, David Suñol3, Toni Todorovski3, Maria J Macias4, Yi Xiao5, Harold A Scheraga2, Cezary Czaplewski6, Adam Liwo7.   

Abstract

To demonstrate the utility of the coarse-grained united-residue (UNRES) force field to compare experimental and computed kinetic data for folding proteins, we have performed long-time millisecond-timescale canonical Langevin molecular dynamics simulations of the triple β-strand from the Formin binding protein 28 WW domain and six nonnatural variants, using UNRES. The results have been compared with available experimental data in both a qualitative and a quantitative manner. Complexities of the folding pathways, which cannot be determined experimentally, were revealed. The folding mechanisms obtained from the simulated folding kinetics are in agreement with experimental results, with a few discrepancies for which we have accounted. The origins of single- and double-exponential kinetics and their correlations with two- and three-state folding scenarios are shown to be related to the relative barrier heights between the various states. The rate constants obtained from time profiles of the fractions of the native, intermediate, and unfolded structures, and the kinetic equations fitted to them, correlate with the experimental values; however, they are about three orders of magnitude larger than the experimental ones for most of the systems. These differences are in agreement with the timescale extension derived by scaling down the friction of water and averaging out the fast degrees of freedom when passing from all-atom to a coarse-grained representation. Our results indicate that the UNRES force field can provide accurate predictions of folding kinetics of these WW domains, often used as models for the study of the mechanisms of proein folding.

Entities:  

Keywords:  FBP28 WW domain; folding rates; free-energy landscapes; millisecond-timescale canonical MD simulations; nonnatural variants

Mesh:

Year:  2014        PMID: 25489078      PMCID: PMC4280612          DOI: 10.1073/pnas.1420914111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  34 in total

1.  Ultrafast folding of WW domains without structured aromatic clusters in the denatured state.

Authors:  N Ferguson; C M Johnson; M Macias; H Oschkinat; A Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-30       Impact factor: 11.205

2.  Rapid amyloid fiber formation from the fast-folding WW domain FBP28.

Authors:  Neil Ferguson; John Berriman; Miriana Petrovich; Timothy D Sharpe; John T Finch; Alan R Fersht
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-01       Impact factor: 11.205

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.  Ab initio simulations of protein-folding pathways by molecular dynamics with the united-residue model of polypeptide chains.

Authors:  Adam Liwo; Mey Khalili; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-26       Impact factor: 11.205

5.  Effects of crowding and confinement on the structures of the transition state ensemble in proteins.

Authors:  Margaret S Cheung; D Thirumalai
Journal:  J Phys Chem B       Date:  2007-06-22       Impact factor: 2.991

6.  Relation between free energy landscapes of proteins and dynamics.

Authors:  Gia G Maisuradze; Adam Liwo; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2010-02-09       Impact factor: 6.006

7.  Prediction of protein conformation on the basis of a search for compact structures: test on avian pancreatic polypeptide.

Authors:  A Liwo; M R Pincus; R J Wawak; S Rackovsky; H A Scheraga
Journal:  Protein Sci       Date:  1993-10       Impact factor: 6.725

8.  Local vs global motions in protein folding.

Authors:  Gia G Maisuradze; Adam Liwo; Patrick Senet; Harold A Scheraga
Journal:  J Chem Theory Comput       Date:  2013-07-09       Impact factor: 6.006

9.  The role of the turn in beta-hairpin formation during WW domain folding.

Authors:  Tim Sharpe; Amanda L Jonsson; Trevor J Rutherford; Valerie Daggett; Alan R Fersht
Journal:  Protein Sci       Date:  2007-08-31       Impact factor: 6.725

10.  WW domain folding complexity revealed by infrared spectroscopy.

Authors:  Caitlin M Davis; R Brian Dyer
Journal:  Biochemistry       Date:  2014-08-20       Impact factor: 3.162

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  15 in total

1.  Preventing fibril formation of a protein by selective mutation.

Authors:  Gia G Maisuradze; Jordi Medina; Khatuna Kachlishvili; Pawel Krupa; Magdalena A Mozolewska; Pau Martin-Malpartida; Luka Maisuradze; Maria J Macias; Harold A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-19       Impact factor: 11.205

2.  Optimization of a Nucleic Acids united-RESidue 2-Point model (NARES-2P) with a maximum-likelihood approach.

Authors:  Yi He; Adam Liwo; Harold A Scheraga
Journal:  J Chem Phys       Date:  2015-12-28       Impact factor: 3.488

3.  Molecular dynamics of protein A and a WW domain with a united-residue model including hydrodynamic interaction.

Authors:  Agnieszka G Lipska; Steven R Seidman; Adam K Sieradzan; Artur Giełdoń; Adam Liwo; Harold A Scheraga
Journal:  J Chem Phys       Date:  2016-05-14       Impact factor: 3.488

4.  New Insights into Folding, Misfolding, and Nonfolding Dynamics of a WW Domain.

Authors:  Khatuna Kachlishvili; Anatolii Korneev; Luka Maisuradze; Jiaojiao Liu; Harold A Scheraga; Alexander Molochkov; Patrick Senet; Antti J Niemi; Gia G Maisuradze
Journal:  J Phys Chem B       Date:  2020-05-01       Impact factor: 2.991

5.  Physics-based potentials for the coupling between backbone- and side-chain-local conformational states in the UNited RESidue (UNRES) force field for protein simulations.

Authors:  Adam K Sieradzan; Paweł Krupa; Harold A Scheraga; Adam Liwo; Cezary Czaplewski
Journal:  J Chem Theory Comput       Date:  2015-02-10       Impact factor: 6.006

6.  Mechanistic Kinetic Model Reveals How Amyloidogenic Hydrophobic Patches Facilitate the Amyloid-β Fibril Elongation.

Authors:  Hengyi Xie; Ana Rojas; Gia G Maisuradze; George Khelashvili
Journal:  ACS Chem Neurosci       Date:  2022-03-08       Impact factor: 4.418

7.  Early Stages of RNA-Mediated Conversion of Human Prions.

Authors:  Emilia A Lubecka; Ulrich H E Hansmann
Journal:  J Phys Chem B       Date:  2022-08-16       Impact factor: 3.466

8.  Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning.

Authors:  Yasuhiro Matsunaga; Yuji Sugita
Journal:  Elife       Date:  2018-05-03       Impact factor: 8.140

9.  High-Resolution Mapping of the Folding Transition State of a WW Domain.

Authors:  Kapil Dave; Marcus Jäger; Houbi Nguyen; Jeffery W Kelly; Martin Gruebele
Journal:  J Mol Biol       Date:  2016-02-12       Impact factor: 5.469

10.  Accelerated molecular dynamics simulations of protein folding.

Authors:  Yinglong Miao; Ferran Feixas; Changsun Eun; J Andrew McCammon
Journal:  J Comput Chem       Date:  2015-06-12       Impact factor: 3.376

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