Literature DB >> 19355979

Frameworks for understanding long-range intra-protein communication.

Matthew J Whitley1, Andrew L Lee.   

Abstract

The phenomenon of intra-protein communication is fundamental to such processes as allostery and signaling, yet comparatively little is understood about its physical origins despite notable progress in recent years. This review introduces contemporary but distinct frameworks for understanding intra-protein communication by presenting both the ideas behind them and a discussion of their successes and shortcomings. The first framework holds that intra-protein communication is accomplished by the sequential mechanical linkage of residues spanning a gap between distal sites. According to the second framework, proteins are best viewed as ensembles of distinct structural microstates, the dynamical and thermodynamic properties of which contribute to the experimentally observable macroscale properties. Nuclear magnetic resonance (NMR) spectroscopy is a powerful method for studying intra-protein communication, and the insights into both frameworks it provides are presented through a discussion of numerous examples from the literature. Distinct from mechanical and thermodynamic considerations of intra-protein communication are recently applied graph and network theoretic analyses. These computational methods reduce complex three dimensional protein architectures to simple maps comprised of nodes (residues) connected by edges (inter-residue "interactions"). Analysis of these graphs yields a characterization of the protein's topology and network characteristics. These methods have shown proteins to be "small world" networks with moderately high local residue connectivities existing concurrently with a small but significant number of long range connectivities. However, experimental studies of the tantalizing idea that these putative long range interaction pathways facilitate one or several macroscopic protein characteristics are unfortunately lacking at present. This review concludes by comparing and contrasting the presented frameworks and methodologies for studying intra-protein communication and suggests a manner in which they can be brought to bear simultaneously to further enhance our understanding of this important fundamental phenomenon.

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Year:  2009        PMID: 19355979      PMCID: PMC2749244          DOI: 10.2174/138920309787847563

Source DB:  PubMed          Journal:  Curr Protein Pept Sci        ISSN: 1389-2037            Impact factor:   3.272


  64 in total

1.  Ligand-dependent dynamics and intramolecular signaling in a PDZ domain.

Authors:  Ernesto J Fuentes; Channing J Der; Andrew L Lee
Journal:  J Mol Biol       Date:  2004-01-23       Impact factor: 5.469

2.  From molecular to biological structure and back.

Authors:  Danail Bonchev; Gregory A Buck
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3.  Propagation of dynamic changes in barnase upon binding of barstar: an NMR and computational study.

Authors:  Anastasia Zhuravleva; Dmitry M Korzhnev; Svetlana B Nolde; Lewis E Kay; Alexander S Arseniev; Martin Billeter; Vladislav Yu Orekhov
Journal:  J Mol Biol       Date:  2007-01-24       Impact factor: 5.469

4.  Direct observation in solution of a preexisting structural equilibrium for a mutant of the allosteric aspartate transcarbamoylase.

Authors:  Luc Fetler; Evan R Kantrowitz; Patrice Vachette
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-03       Impact factor: 11.205

5.  The mechanism of rate-limiting motions in enzyme function.

Authors:  Eric D Watt; Hiroko Shimada; Evgenii L Kovrigin; J Patrick Loria
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-05       Impact factor: 11.205

6.  Strategy for analysing the co-operativity of intramolecular interactions in peptides and proteins.

Authors:  A Horovitz; A R Fersht
Journal:  J Mol Biol       Date:  1990-08-05       Impact factor: 5.469

7.  Evaluation of energetic and dynamic coupling networks in a PDZ domain protein.

Authors:  Ernesto J Fuentes; Steven A Gilmore; Randall V Mauldin; Andrew L Lee
Journal:  J Mol Biol       Date:  2006-09-01       Impact factor: 5.469

8.  Conserved residues and the mechanism of protein folding.

Authors:  E Shakhnovich; V Abkevich; O Ptitsyn
Journal:  Nature       Date:  1996-01-04       Impact factor: 49.962

9.  Effects of calcium binding on the side-chain methyl dynamics of calbindin D9k: a 2H NMR relaxation study.

Authors:  Eric Johnson; Walter J Chazin; Mark Rance
Journal:  J Mol Biol       Date:  2006-01-26       Impact factor: 5.469

10.  How accurate and statistically robust are catalytic site predictions based on closeness centrality?

Authors:  Eric Chea; Dennis R Livesay
Journal:  BMC Bioinformatics       Date:  2007-05-11       Impact factor: 3.169

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  32 in total

1.  Allosteric response is both conserved and variable across three CheY orthologs.

Authors:  James M Mottonen; Donald J Jacobs; Dennis R Livesay
Journal:  Biophys J       Date:  2010-10-06       Impact factor: 4.033

Review 2.  Solution NMR Spectroscopy for the Study of Enzyme Allostery.

Authors:  George P Lisi; J Patrick Loria
Journal:  Chem Rev       Date:  2016-01-06       Impact factor: 60.622

3.  Allosteric inhibition of individual enzyme molecules trapped in lipid vesicles.

Authors:  Hubert M Piwonski; Mila Goomanovsky; David Bensimon; Amnon Horovitz; Gilad Haran
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-04       Impact factor: 11.205

4.  Investigation of a Catenane with a Responsive Noncovalent Network: Mimicking Long-Range Responses in Proteins.

Authors:  Mee-Kyung Chung; Peter S White; Stephen J Lee; Michel R Gagné; Marcey L Waters
Journal:  J Am Chem Soc       Date:  2016-09-29       Impact factor: 15.419

5.  Quantifying Allosteric Communication via Both Concerted Structural Changes and Conformational Disorder with CARDS.

Authors:  Sukrit Singh; Gregory R Bowman
Journal:  J Chem Theory Comput       Date:  2017-03-22       Impact factor: 6.006

Review 6.  How do dynamic cellular signals travel long distances?

Authors:  Ruth Nussinov
Journal:  Mol Biosyst       Date:  2011-07-18

7.  Dynamically Coupled Residues within the SH2 Domain of FYN Are Key to Unlocking Its Activity.

Authors:  Radu Huculeci; Elisa Cilia; Agatha Lyczek; Lieven Buts; Klaartje Houben; Markus A Seeliger; Nico van Nuland; Tom Lenaerts
Journal:  Structure       Date:  2016-09-29       Impact factor: 5.006

8.  Phosphatidylserine-induced factor Xa dimerization and binding to factor Va are competing processes in solution.

Authors:  Rinku Majumder; Tilen Koklic; Alireza R Rezaie; Barry R Lentz
Journal:  Biochemistry       Date:  2012-12-27       Impact factor: 3.162

Review 9.  The ensemble nature of allostery.

Authors:  Hesam N Motlagh; James O Wrabl; Jing Li; Vincent J Hilser
Journal:  Nature       Date:  2014-04-17       Impact factor: 49.962

10.  Structure-based predictive models for allosteric hot spots.

Authors:  Omar N A Demerdash; Michael D Daily; Julie C Mitchell
Journal:  PLoS Comput Biol       Date:  2009-10-09       Impact factor: 4.475

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