Literature DB >> 29735729

Ensemble allosteric model: energetic frustration within the intrinsically disordered glucocorticoid receptor.

Jordan T White1, Jing Li1,2, Emily Grasso1,2, James O Wrabl1, Vincent J Hilser3,2.   

Abstract

Allostery is an important regulatory phenomenon enabling precise control of biological function. Initial understanding of allostery was gained from seminal work on conformational changes exhibited by structured proteins. Within the last decade, protein allostery has also been demonstrated to occur within intrinsically disordered proteins. This emerging concept of disorder-mediated allostery can be usefully understood in the context of a thermodynamic ensemble. The advantage of this ensemble allosteric model is that it unifies the explanations of allostery occurring within both structured and disordered proteins. One central finding from this model is that energetic coupling, the transmission of a signal between separate regions (or domains) of a protein, is maximized when one or more domains are disordered. This is due to a disorder-order transition that contributes additional coupling energy to the allosteric system through formation of a molecular interaction surface or interface. A second key finding is that multiple interfaces may constructively or destructively interfere with each other, resulting in a new form of allosteric regulation called 'energetic frustration'. Articulating protein allostery in terms of the thermodynamic ensemble permits formulation of experimentally testable hypotheses which can increase fundamental understanding and direct drug-design efforts. These ideas are illustrated here with the specific case of human glucocorticoid receptor, a medically important multi-domain allosteric protein that contains both structured and disordered regions and exemplifies 'energetic frustration'.This article is part of a discussion meeting issue 'Allostery and molecular machines'.
© 2018 The Author(s).

Entities:  

Keywords:  allostery; frustration; intrinsic disorder; thermodynamic coupling

Mesh:

Substances:

Year:  2018        PMID: 29735729      PMCID: PMC5941170          DOI: 10.1098/rstb.2017.0175

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  70 in total

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2.  Thermodynamic dissection of the intrinsically disordered N-terminal domain of human glucocorticoid receptor.

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Journal:  Nature       Date:  1991-08-08       Impact factor: 49.962

5.  Conformational Heterogeneity and DNA Recognition by the Morphogen Bicoid.

Authors:  Ramkrishna Adhikary; Yun Xuan Tan; Jian Liu; Jörg Zimmermann; Matthew Holcomb; Carolyn Yvellez; Philip E Dawson; Floyd E Romesberg
Journal:  Biochemistry       Date:  2017-05-26       Impact factor: 3.162

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8.  The induction of folding cooperativity by ligand binding drives the allosteric response of tetracycline repressor.

Authors:  Sean E Reichheld; Zhou Yu; Alan R Davidson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-22       Impact factor: 11.205

9.  ECOD: new developments in the evolutionary classification of domains.

Authors:  R Dustin Schaeffer; Yuxing Liao; Hua Cheng; Nick V Grishin
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

Review 10.  A decade and a half of protein intrinsic disorder: biology still waits for physics.

Authors:  Vladimir N Uversky
Journal:  Protein Sci       Date:  2013-04-29       Impact factor: 6.725

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  8 in total

1.  Allostery and molecular machines.

Authors:  George H Lorimer; Amnon Horovitz; Tom McLeish
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-06-19       Impact factor: 6.237

2.  Interface Residues That Drive Allosteric Transitions Also Control the Assembly of l-Lactate Dehydrogenase.

Authors:  Jie Chen; D Thirumalai
Journal:  J Phys Chem B       Date:  2018-08-27       Impact factor: 2.991

3.  Conserved allosteric ensembles in disordered proteins using TROSY/anti-TROSY R2-filtered spectroscopy.

Authors:  Emily M Grasso; Ananya Majumdar; James O Wrabl; Dominique P Frueh; Vincent J Hilser
Journal:  Biophys J       Date:  2021-04-24       Impact factor: 3.699

4.  Accelerating atomistic simulations of proteins using multiscale enhanced sampling with independent tempering.

Authors:  Xiaorong Liu; Xiping Gong; Jianhan Chen
Journal:  J Comput Chem       Date:  2020-12-10       Impact factor: 3.672

Review 5.  Targeting Intrinsically Disordered Proteins through Dynamic Interactions.

Authors:  Jianlin Chen; Xiaorong Liu; Jianhan Chen
Journal:  Biomolecules       Date:  2020-05-11

6.  Machine Learning of Allosteric Effects: The Analysis of Ligand-Induced Dynamics to Predict Functional Effects in TRAP1.

Authors:  Mariarosaria Ferraro; Elisabetta Moroni; Emiliano Ippoliti; Silvia Rinaldi; Carlos Sanchez-Martin; Andrea Rasola; Luca F Pavarino; Giorgio Colombo
Journal:  J Phys Chem B       Date:  2020-12-28       Impact factor: 2.991

7.  Conformational Flexibility and Local Frustration in the Functional States of the SARS-CoV-2 Spike B.1.1.7 and B.1.351 Variants: Mutation-Induced Allosteric Modulation Mechanism of Functional Dynamics and Protein Stability.

Authors:  Gennady Verkhivker
Journal:  Int J Mol Sci       Date:  2022-01-31       Impact factor: 5.923

8.  Theoretical analysis of inducer and operator binding for cyclic-AMP receptor protein mutants.

Authors:  Tal Einav; Julia Duque; Rob Phillips
Journal:  PLoS One       Date:  2018-09-26       Impact factor: 3.240

  8 in total

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