Literature DB >> 21333795

Strategies for the thermodynamic characterization of linked binding/local folding reactions within the native state application to the LID domain of adenylate kinase from Escherichia coli.

Travis P Schrank1, W Austin Elam, Jing Li, Vincent J Hilser.   

Abstract

Conformational fluctuations in proteins have emerged as an important aspect of biological function, having been linked to processes ranging from molecular recognition and catalysis to allostery and signal transduction. In spite of the realization of their importance, however, the connections between fluctuations and function have largely been empirical, even when they have been quantitative. Part of the problem in understanding the role of fluctuations in function is the fact that the mere existence of fluctuations complicates the interpretation of classic mutagenesis approaches. Namely, mutagenesis, which is typically targeted to an internal position (to elicit an effect), will change the fluctuations as well as the structure of the native state. Decoupling these effects is essential to an unambiguous understanding of the role of fluctuations in function. Here, we use a mutation strategy that targets surface-exposed sites in flexible parts of the molecule for mutation to glycine. Such mutations leave the ground-state structure unaffected. As a result, we can assess the nature of the fluctuations, develop a quantitative model relating fluctuations to function (in this case, molecular recognition), and unambiguously resolve the probabilities of the fluctuating states. We show that when this approach is applied to Escherichia coli adenylate kinase (AK), unique thermodynamic and structural insights are obtained, even when classic mutagenesis approaches targeted to the same region yield ambiguous results.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21333795      PMCID: PMC6585976          DOI: 10.1016/B978-0-12-381268-1.00020-3

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  10 in total

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Authors:  Hesam N Motlagh; Vincent J Hilser
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-02       Impact factor: 11.205

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

Review 3.  Conformational heterogeneity within the LID domain mediates substrate binding to Escherichia coli adenylate kinase: function follows fluctuations.

Authors:  Travis P Schrank; James O Wrabl; Vincent J Hilser
Journal:  Top Curr Chem       Date:  2013

Review 4.  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

Review 5.  Interplay between allostery and intrinsic disorder in an ensemble.

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Journal:  Biochem Soc Trans       Date:  2012-10       Impact factor: 5.407

6.  Uncoupling the Folding and Binding of an Intrinsically Disordered Protein.

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Journal:  Rep Prog Phys       Date:  2012-06-28

Review 8.  Structural and energetic basis of allostery.

Authors:  Vincent J Hilser; James O Wrabl; Hesam N Motlagh
Journal:  Annu Rev Biophys       Date:  2012       Impact factor: 12.981

9.  Dynamic allostery can drive cold adaptation in enzymes.

Authors:  Harry G Saavedra; James O Wrabl; Jeremy A Anderson; Jing Li; Vincent J Hilser
Journal:  Nature       Date:  2018-06-06       Impact factor: 49.962

Review 10.  Allosteric Modulation of Neurotransmitter Transporters as a Therapeutic Strategy.

Authors:  Marco Niello; Ralph Gradisch; Claus Juul Loland; Thomas Stockner; Harald H Sitte
Journal:  Trends Pharmacol Sci       Date:  2020-05-26       Impact factor: 14.819

  10 in total

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