Literature DB >> 17890394

Folding pathway of the b1 domain of protein G explored by multiscale modeling.

Sebastian Kmiecik1, Andrzej Kolinski.   

Abstract

The understanding of the folding mechanisms of single-domain proteins is an essential step in the understanding of protein folding in general. Recently, we developed a mesoscopic CA-CB side-chain protein model, which was successfully applied in protein structure prediction, studies of protein thermodynamics, and modeling of protein complexes. In this research, this model is employed in a detailed characterization of the folding process of a simple globular protein, the B1 domain of IgG-binding protein G (GB1). There is a vast body of experimental facts and theoretical findings for this protein. Performing unbiased, ab initio simulations, we demonstrated that the GB1 folding proceeds via the formation of an extended folding nucleus, followed by slow structure fine-tuning. Remarkably, a subset of native interactions drives the folding from the very beginning. The emerging comprehensive picture of GB1 folding perfectly matches and extends the previous experimental and theoretical studies.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17890394      PMCID: PMC2186257          DOI: 10.1529/biophysj.107.116095

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


  53 in total

1.  Dynamics and thermodynamics of beta-hairpin assembly: insights from various simulation techniques.

Authors:  A Kolinski; B Ilkowski; J Skolnick
Journal:  Biophys J       Date:  1999-12       Impact factor: 4.033

2.  Folding dynamics of the B1 domain of protein G explored by ultrarapid mixing.

Authors:  S H Park; M C Shastry; H Roder
Journal:  Nat Struct Biol       Date:  1999-10

Review 3.  Matching theory and experiment in protein folding.

Authors:  E Alm; D Baker
Journal:  Curr Opin Struct Biol       Date:  1999-04       Impact factor: 6.809

4.  The ensemble folding kinetics of protein G from an all-atom Monte Carlo simulation.

Authors:  Jun Shimada; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-06       Impact factor: 11.205

Review 5.  The present view of the mechanism of protein folding.

Authors:  Valerie Daggett; Alan Fersht
Journal:  Nat Rev Mol Cell Biol       Date:  2003-06       Impact factor: 94.444

6.  Thermodynamics of Go-type models for protein folding.

Authors:  Lidia Prieto; David de Sancho; Antonio Rey
Journal:  J Chem Phys       Date:  2005-10-15       Impact factor: 3.488

7.  In silico folding of a three helix protein and characterization of its free-energy landscape in an all-atom force field.

Authors:  T Herges; W Wenzel
Journal:  Phys Rev Lett       Date:  2005-01-05       Impact factor: 9.161

8.  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

9.  HCPM--program for hierarchical clustering of protein models.

Authors:  Dominik Gront; Andrzej Kolinski
Journal:  Bioinformatics       Date:  2005-04-19       Impact factor: 6.937

10.  Generalized protein structure prediction based on combination of fold-recognition with de novo folding and evaluation of models.

Authors:  Andrzej Koliński; Janusz M Bujnicki
Journal:  Proteins       Date:  2005
View more
  37 in total

1.  GB1 is not a two-state folder: identification and characterization of an on-pathway intermediate.

Authors:  Angela Morrone; Rajanish Giri; Rudesh D Toofanny; Carlo Travaglini-Allocatelli; Maurizio Brunori; Valerie Daggett; Stefano Gianni
Journal:  Biophys J       Date:  2011-10-19       Impact factor: 4.033

2.  Characterizing protein energy landscape by self-learning multiscale simulations: application to a designed β-hairpin.

Authors:  Wenfei Li; Shoji Takada
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

3.  Fold and flexibility: what can proteins' mechanical properties tell us about their folding nucleus?

Authors:  Sophie Sacquin-Mora
Journal:  J R Soc Interface       Date:  2015-11-06       Impact factor: 4.118

Review 4.  Computational techniques for efficient conformational sampling of proteins.

Authors:  Adam Liwo; Cezary Czaplewski; Stanisław Ołdziej; Harold A Scheraga
Journal:  Curr Opin Struct Biol       Date:  2008-01-22       Impact factor: 6.809

5.  The energy profiles of atomic conformational transition intermediates of adenylate kinase.

Authors:  Yaping Feng; Lei Yang; Andrzej Kloczkowski; Robert L Jernigan
Journal:  Proteins       Date:  2009-11-15

6.  Folding simulations of the A and B domains of protein G.

Authors:  Maksim Kouza; Ulrich H E Hansmann
Journal:  J Phys Chem B       Date:  2012-01-24       Impact factor: 2.991

7.  Simple Physics-Based Analytical Formulas for the Potentials of Mean Force of the Interaction of Amino Acid Side Chains in Water. VII. Charged-Hydrophobic/Polar and Polar-Hydrophobic/Polar Side Chains.

Authors:  Mariusz Makowski; Adam Liwo; Harold A Scheraga
Journal:  J Phys Chem B       Date:  2017-01-05       Impact factor: 2.991

8.  Flexible docking of peptides to proteins using CABS-dock.

Authors:  Mateusz Kurcinski; Aleksandra Badaczewska-Dawid; Michal Kolinski; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Protein Sci       Date:  2019-11-11       Impact factor: 6.725

9.  Modeling of loops in proteins: a multi-method approach.

Authors:  Michal Jamroz; Andrzej Kolinski
Journal:  BMC Struct Biol       Date:  2010-02-11

10.  Determination of side-chain-rotamer and side-chain and backbone virtual-bond-stretching potentials of mean force from AM1 energy surfaces of terminally-blocked amino-acid residues, for coarse-grained simulations of protein structure and folding. I. The method.

Authors:  Urszula Kozłowska; Adam Liwo; Harold A Scheraga
Journal:  J Comput Chem       Date:  2010-04-30       Impact factor: 3.376

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.