Literature DB >> 35538664

Identification of core allosteric sites through temperature- and nucleus-invariant chemical shift covariance.

Hebatallah Mohamed1, Ubaidullah Baryar1, Amir Bashiri1, Rajeevan Selvaratnam1, Bryan VanSchouwen1, Giuseppe Melacini2.   

Abstract

Allosteric regulation is essential to control biological function. In addition, allosteric sites offer a promising venue for selective drug targeting. However, accurate mapping of allosteric sites remains challenging since allostery relies on often subtle, yet functionally relevant, structural and dynamical changes. A viable approach proposed to overcome such challenge is chemical shift covariance analysis (CHESCA). Although CHESCA offers an exhaustive map of allosteric networks, it is critical to define the core allosteric sites to be prioritized in subsequent functional studies or in the design of allosteric drugs. Here, we propose two new CHESCA-based methodologies, called temperature CHESCA (T-CHESCA) and CLASS-CHESCA, aimed at narrowing down allosteric maps to the core allosteric residues. Both T- and CLASS-CHESCAs rely on the invariance of core inter-residue correlations to changes in the chemical shifts of the active and inactive conformations interconverting in fast exchange. In T-CHESCA the chemical shifts of such states are modulated through temperature changes, while in CLASS-CHESCA through variations in the spin-active nuclei involved in pairwise correlations. T- and CLASS-CHESCAs, as well as complete-linkage CHESCA, were applied to the cAMP-binding domain of the exchange protein directly activated by cAMP (EPAC), which serves as a prototypical allosteric switch. Residues consistently identified by the three CHESCA methods were found in previously identified EPAC allosteric core sites. Hence, T-, CLASS-, and CL-CHESCA provide a toolset to establish allosteric site hierarchy and triage allosteric sites to be further analyzed by mutations and functional assays. Furthermore, the core allosteric networks selectively revealed through T- and CLASS-CHESCA are expected to facilitate the mechanistic understanding of disease-related mutations and the design of selective allosteric modulators.
Copyright © 2022 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CHESCA; EPAC; NMR; allosteric regulation; allostery; cAMP; dynamics; signaling

Mesh:

Substances:

Year:  2022        PMID: 35538664      PMCID: PMC9247469          DOI: 10.1016/j.bpj.2022.05.004

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   3.699


  59 in total

Review 1.  Advances in G protein-coupled receptor allostery: from function to structure.

Authors:  Arthur Christopoulos
Journal:  Mol Pharmacol       Date:  2014-07-24       Impact factor: 4.436

2.  Network of long-range concerted chemical shift displacements upon ligand binding to human angiogenin.

Authors:  Donald Gagné; Chitra Narayanan; Nicolas Doucet
Journal:  Protein Sci       Date:  2014-12-26       Impact factor: 6.725

3.  Communication between the regulatory and the catalytic region of the cAMP-responsive guanine nucleotide exchange factor Epac.

Authors:  Holger Rehmann; Alma Rueppel; Johannes L Bos; Alfred Wittinghofer
Journal:  J Biol Chem       Date:  2003-04-21       Impact factor: 5.157

Review 4.  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

Review 5.  Making the invisible visible: Toward structural characterization of allosteric states, interaction networks, and allosteric regulatory mechanisms in protein kinases.

Authors:  Gennady M Verkhivker
Journal:  Curr Opin Struct Biol       Date:  2021-07-05       Impact factor: 6.809

Review 6.  Principles of allosteric interactions in cell signaling.

Authors:  Ruth Nussinov; Chung-Jung Tsai; Jin Liu
Journal:  J Am Chem Soc       Date:  2014-12-15       Impact factor: 15.419

7.  Temperature dependence of NMR chemical shifts: Tracking and statistical analysis.

Authors:  Kyle Trainor; Jeffrey A Palumbo; Duncan W S MacKenzie; Elizabeth M Meiering
Journal:  Protein Sci       Date:  2019-11-26       Impact factor: 6.725

Review 8.  Allosteric inhibition explained through conformational ensembles sampling distinct "mixed" states.

Authors:  Jung Ah Byun; Bryan VanSchouwen; Madoka Akimoto; Giuseppe Melacini
Journal:  Comput Struct Biotechnol J       Date:  2020-11-11       Impact factor: 7.271

9.  A unified view of "how allostery works".

Authors:  Chung-Jung Tsai; Ruth Nussinov
Journal:  PLoS Comput Biol       Date:  2014-02-06       Impact factor: 4.475

10.  A tool set to map allosteric networks through the NMR chemical shift covariance analysis.

Authors:  Stephen Boulton; Madoka Akimoto; Rajeevan Selvaratnam; Amir Bashiri; Giuseppe Melacini
Journal:  Sci Rep       Date:  2014-12-08       Impact factor: 4.379

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