Literature DB >> 20102791

Functional versus folding landscapes: the same yet different.

Pavel I Zhuravlev1, Garegin A Papoian.   

Abstract

Protein functional landscapes are characterized by a modest number of states compared with the folding landscapes, allowing brute force sampling of these states for smaller proteins using computer simulations. On the other hand, because the functional landscape topographies are complicated, the native state dynamics are often difficult to interpret. Nevertheless, a number of experimental and computational techniques have recently emerged that are designed to reveal the essential features of the native landscape, such as the hierarchical organization of conformational substates. These studies also shed light on the mechanisms of protein function, for example, explaining how chemical energy is transduced in molecular motors. Overall, interpreting experimental results in the light of the functional landscape paradigm considerably enhances the understanding of complex biomolecular processes. Copyright 2010 Elsevier Ltd. All rights reserved.

Mesh:

Substances:

Year:  2010        PMID: 20102791     DOI: 10.1016/j.sbi.2009.12.010

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  17 in total

1.  Nonplanar peptide bonds in proteins are common and conserved but not biased toward active sites.

Authors:  Donald S Berkholz; Camden M Driggers; Maxim V Shapovalov; Roland L Dunbrack; P Andrew Karplus
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-23       Impact factor: 11.205

2.  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

3.  Frustration, specific sequence dependence, and nonlinearity in large-amplitude fluctuations of allosteric proteins.

Authors:  Wenfei Li; Peter G Wolynes; Shoji Takada
Journal:  Proc Natl Acad Sci U S A       Date:  2011-02-09       Impact factor: 11.205

4.  Improved coarse-graining of Markov state models via explicit consideration of statistical uncertainty.

Authors:  Gregory R Bowman
Journal:  J Chem Phys       Date:  2012-10-07       Impact factor: 3.488

5.  Large-scale motions in the adenylate kinase solution ensemble: coarse-grained simulations and comparison with solution X-ray scattering.

Authors:  Michael D Daily; Lee Makowski; George N Phillips; Qiang Cui
Journal:  Chem Phys       Date:  2012-03-02       Impact factor: 2.348

Review 6.  Allostery and population shift in drug discovery.

Authors:  Gozde Kar; Ozlem Keskin; Attila Gursoy; Ruth Nussinov
Journal:  Curr Opin Pharmacol       Date:  2010-09-29       Impact factor: 5.547

Review 7.  UV resonance Raman investigations of peptide and protein structure and dynamics.

Authors:  Sulayman A Oladepo; Kan Xiong; Zhenmin Hong; Sanford A Asher; Joseph Handen; Igor K Lednev
Journal:  Chem Rev       Date:  2012-02-15       Impact factor: 60.622

8.  Computing free energies of protein conformations from explicit solvent simulations.

Authors:  Pavel I Zhuravlev; Sangwook Wu; Davit A Potoyan; Michael Rubinstein; Garegin A Papoian
Journal:  Methods       Date:  2010-05-20       Impact factor: 3.608

9.  Quantitative comparison of alternative methods for coarse-graining biological networks.

Authors:  Gregory R Bowman; Luming Meng; Xuhui Huang
Journal:  J Chem Phys       Date:  2013-09-28       Impact factor: 3.488

Review 10.  Frustration, function and folding.

Authors:  Diego U Ferreiro; Elizabeth A Komives; Peter G Wolynes
Journal:  Curr Opin Struct Biol       Date:  2017-11-05       Impact factor: 6.809

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.