Literature DB >> 19453123

Deconstructing the native state: energy landscapes, function, and dynamics of globular proteins.

Pavel I Zhuravlev1, Christopher Kroboth Materese, Garegin A Papoian.   

Abstract

Proteins are highly complex molecules with features exquisitely selected by nature to carry out essential biological functions. Physical chemistry and polymer physics provide us with the tools needed to make sense of this complexity. Upon translation, many proteins fold to a thermodynamically stable form known as the native state. The native state is not static, but consists of a hierarchy of conformations, that are continuously explored through dynamics. In this review we provide a brief introduction to some of the core concepts required in the discussion of the protein native dynamics using energy landscapes ideas. We first discuss recent works which have challenged the structure-function paradigm by demonstrating function in disordered proteins. Next we examine the hierarchical organization in the energy landscapes using atomistic molecular dynamics simulations and principal component analysis. In particular, the role of direct and water-mediated contacts in sculpting the landscape is elaborated. Another approach to studying the native state ensemble is based on choosing high-resolution order parameters for computing one- or two-dimensional free energy surfaces. We demonstrate that 2D free energy surfaces provide rich thermodynamic and kinetic information about the native state ensemble. Brownian dynamics simulations on such a surface indicate that protein conformational dynamics is weakly activated. Finally, we briefly discuss implicit and coarse-grained protein models and emphasize the solvent role in determining native state structure and dynamics.

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Year:  2009        PMID: 19453123     DOI: 10.1021/jp810659u

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  16 in total

1.  Protein fluxes along the filopodium as a framework for understanding the growth-retraction dynamics: the interplay between diffusion and active transport.

Authors:  Pavel I Zhuravlev; Garegin A Papoian
Journal:  Cell Adh Migr       Date:  2011 Sep-Oct       Impact factor: 3.405

2.  Systematic determination of order parameters for chain dynamics using diffusion maps.

Authors:  Andrew L Ferguson; Athanassios Z Panagiotopoulos; Pablo G Debenedetti; Ioannis G Kevrekidis
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-19       Impact factor: 11.205

3.  Single-molecule study of ribosome hierarchic dynamics at the peptidyl transferase center.

Authors:  Mediha Esra Altuntop; Cindy Tu Ly; Yuhong Wang
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

4.  An experimental and computational investigation of spontaneous lasso formation in microcin J25.

Authors:  Andrew L Ferguson; Siyan Zhang; Igor Dikiy; Athanassios Z Panagiotopoulos; Pablo G Debenedetti; A James Link
Journal:  Biophys J       Date:  2010-11-03       Impact factor: 4.033

5.  Role of single-point mutations and deletions on transition temperatures in ideal proteinogenic heteropolymer chains in the gas phase.

Authors:  L Olivares-Quiroz
Journal:  Eur Biophys J       Date:  2016-01-27       Impact factor: 1.733

Review 6.  Thermodynamic and functional characteristics of deep-sea enzymes revealed by pressure effects.

Authors:  Eiji Ohmae; Yurina Miyashita; Chiaki Kato
Journal:  Extremophiles       Date:  2013-09       Impact factor: 2.395

7.  From the Cover: Simplifying the representation of complex free-energy landscapes using sketch-map.

Authors:  Michele Ceriotti; Gareth A Tribello; Michele Parrinello
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-05       Impact factor: 11.205

8.  Simulating and analysing configurational landscapes of protein-protein contact formation.

Authors:  Andrej Berg; Christine Peter
Journal:  Interface Focus       Date:  2019-04-19       Impact factor: 3.906

9.  Mapping polymerization and allostery of hemoglobin S using point mutations.

Authors:  Patrick Weinkam; Andrej Sali
Journal:  J Phys Chem B       Date:  2013-09-09       Impact factor: 2.991

10.  Principal component and clustering analysis on molecular dynamics data of the ribosomal L11·23S subdomain.

Authors:  Antje Wolf; Karl N Kirschner
Journal:  J Mol Model       Date:  2012-09-08       Impact factor: 1.810

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