Literature DB >> 21086444

Exploring the factors determining the dynamics of different protein folds.

S M Hollup1, E Fuglebakk, W R Taylor, N Reuter.   

Abstract

Normal mode analyses of homologous proteins at the family and superfamily level show that slow dynamics are similar and are preserved through evolution. This study investigates how the slow dynamics of proteins is affected by variation in the protein architecture and fold. For this purpose, we have used computer-generated protein models based on idealized protein structures with varying folds. These are shown to be protein-like in their behavior, and they are used to investigate the influence of architecture and fold on the slow dynamics. We compared the dynamics of models having different folds but similar architecture and found the architecture to be the dominant factor for the slow dynamics.

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Year:  2011        PMID: 21086444      PMCID: PMC3047076          DOI: 10.1002/pro.558

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  24 in total

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3.  DaliLite workbench for protein structure comparison.

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Journal:  Bioinformatics       Date:  2000-06       Impact factor: 6.937

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Authors:  Wenjun Zheng; Bernard R Brooks; D Thirumalai
Journal:  Biophys J       Date:  2007-06-08       Impact factor: 4.033

Review 5.  Dynamic personalities of proteins.

Authors:  Katherine Henzler-Wildman; Dorothee Kern
Journal:  Nature       Date:  2007-12-13       Impact factor: 49.962

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Authors:  Sandra Maguid; Sebastian Fernandez-Alberti; Julian Echave
Journal:  Gene       Date:  2008-06-06       Impact factor: 3.688

7.  Probing the "dark matter" of protein fold space.

Authors:  William R Taylor; Vijayalakshmi Chelliah; Siv Midtun Hollup; James T MacDonald; Inge Jonassen
Journal:  Structure       Date:  2009-09-09       Impact factor: 5.006

8.  Proteins with similar architecture exhibit similar large-scale dynamic behavior.

Authors:  O Keskin; R L Jernigan; I Bahar
Journal:  Biophys J       Date:  2000-04       Impact factor: 4.033

9.  Prediction of protein structure from ideal forms.

Authors:  William R Taylor; Gail J Bartlett; Vijayalakshmi Chelliah; Daniel Klose; Kuang Lin; Tom Sheldon; Inge Jonassen
Journal:  Proteins       Date:  2008-03

10.  De novo backbone scaffolds for protein design.

Authors:  James T MacDonald; Katarzyna Maksimiak; Michael I Sadowski; William R Taylor
Journal:  Proteins       Date:  2010-04
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  10 in total

Review 1.  The interface of protein structure, protein biophysics, and molecular evolution.

Authors:  David A Liberles; Sarah A Teichmann; Ivet Bahar; Ugo Bastolla; Jesse Bloom; Erich Bornberg-Bauer; Lucy J Colwell; A P Jason de Koning; Nikolay V Dokholyan; Julian Echave; Arne Elofsson; Dietlind L Gerloff; Richard A Goldstein; Johan A Grahnen; Mark T Holder; Clemens Lakner; Nicholas Lartillot; Simon C Lovell; Gavin Naylor; Tina Perica; David D Pollock; Tal Pupko; Lynne Regan; Andrew Roger; Nimrod Rubinstein; Eugene Shakhnovich; Kimmen Sjölander; Shamil Sunyaev; Ashley I Teufel; Jeffrey L Thorne; Joseph W Thornton; Daniel M Weinreich; Simon Whelan
Journal:  Protein Sci       Date:  2012-04-23       Impact factor: 6.725

Review 2.  The role of protein conformational fluctuations in allostery, function, and evolution.

Authors:  James O Wrabl; Jenny Gu; Tong Liu; Travis P Schrank; Steven T Whitten; Vincent J Hilser
Journal:  Biophys Chem       Date:  2011-05-31       Impact factor: 2.352

3.  A phylogenetic analysis of normal modes evolution in enzymes and its relationship to enzyme function.

Authors:  Jason Lai; Jing Jin; Jan Kubelka; David A Liberles
Journal:  J Mol Biol       Date:  2012-05-28       Impact factor: 5.469

4.  Atom-based 3D-QSAR, molecular docking and molecular dynamics simulation assessment of inhibitors for thyroid hormone receptor α and β.

Authors:  Manish Kumar Gupta; Krishna Misra
Journal:  J Mol Model       Date:  2014-06-05       Impact factor: 1.810

5.  Probing molecular mechanisms of the Hsp90 chaperone: biophysical modeling identifies key regulators of functional dynamics.

Authors:  Anshuman Dixit; Gennady M Verkhivker
Journal:  PLoS One       Date:  2012-05-18       Impact factor: 3.240

6.  Comparison of the Internal Dynamics of Metalloproteases Provides New Insights on Their Function and Evolution.

Authors:  Henrique F Carvalho; Ana C A Roque; Olga Iranzo; Ricardo J F Branco
Journal:  PLoS One       Date:  2015-09-23       Impact factor: 3.240

7.  The evolution of protein structures and structural ensembles under functional constraint.

Authors:  Jessica Siltberg-Liberles; Johan A Grahnen; David A Liberles
Journal:  Genes (Basel)       Date:  2011-10-28       Impact factor: 4.096

8.  WEBnm@ v2.0: Web server and services for comparing protein flexibility.

Authors:  Sandhya P Tiwari; Edvin Fuglebakk; Siv M Hollup; Lars Skjærven; Tristan Cragnolini; Svenn H Grindhaug; Kidane M Tekle; Nathalie Reuter
Journal:  BMC Bioinformatics       Date:  2014-12-30       Impact factor: 3.169

9.  Similarity in Shape Dictates Signature Intrinsic Dynamics Despite No Functional Conservation in TIM Barrel Enzymes.

Authors:  Sandhya P Tiwari; Nathalie Reuter
Journal:  PLoS Comput Biol       Date:  2016-03-25       Impact factor: 4.475

10.  Shared Signature Dynamics Tempered by Local Fluctuations Enables Fold Adaptability and Specificity.

Authors:  She Zhang; Hongchun Li; James M Krieger; Ivet Bahar
Journal:  Mol Biol Evol       Date:  2019-09-01       Impact factor: 16.240

  10 in total

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