Literature DB >> 32311315

Entropy Hotspots for the Binding of Intrinsically Disordered Ligands to a Receptor Domain.

Jie Shi1, Qingliang Shen2, Jae-Hyun Cho3, Wonmuk Hwang4.   

Abstract

Proline-rich motifs (PRMs) are widely used for mediating protein-protein interactions with weak binding affinities. Because they are intrinsically disordered when unbound, conformational entropy plays a significant role for the binding. However, residue-level differences of the entropic contribution in the binding of different ligands remain not well understood. We use all-atom molecular dynamics simulation and the maximal information spanning tree formalism to analyze conformational entropy associated with the binding of two PRMs, one from the Abl kinase and the other from the nonstructural protein 1 of the 1918 Spanish influenza A virus, to the N-terminal SH3 (nSH3) domain of the CrkII protein. Side chains of the stably folded nSH3 experience more entropy change upon ligand binding than the backbone, whereas PRMs involve comparable but heterogeneous entropy changes among the backbone and side chains. In nSH3, two conserved nonpolar residues forming contacts with the PRM experience the largest side-chain entropy loss. In contrast, the C-terminal charged residues of PRMs that form polar contacts with nSH3 experience the greatest side-chain entropy loss, although their "fuzzy" nature is attributable to the backbone that remains relatively flexible. Thus, residues that form high-occupancy contacts between nSH3 and PRM do not reciprocally contribute to entropy loss. Furthermore, certain surface residues of nSH3 distal to the interface with PRMs gain entropy, indicating a nonlocal effect of ligand binding. Comparing between the PRMs from cAbl and nonstructural protein 1, the latter involves a larger side-chain entropy loss and forms more contacts with nSH3. Consistent with experiments, this indicates stronger binding of the viral ligand at the expense of losing the flexibility of side chains, whereas the backbone experiences less entropy loss. The entropy "hotspots" as identified in this study will be important for tuning the binding affinity of various ligands to a receptor.
Copyright © 2020 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 32311315      PMCID: PMC7231926          DOI: 10.1016/j.bpj.2020.03.026

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  73 in total

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Authors:  Oliver Schon; Assaf Friedler; Stefan Freund; Alan R Fersht
Journal:  J Mol Biol       Date:  2004-02-06       Impact factor: 5.469

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Authors:  Arianna Rath; Alan R Davidson; Charles M Deber
Journal:  Biopolymers       Date:  2005       Impact factor: 2.505

4.  Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations.

Authors:  Michael C Baxa; Esmael J Haddadian; John M Jumper; Karl F Freed; Tobin R Sosnick
Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-13       Impact factor: 11.205

Review 5.  Fluctuations within folded proteins: implications for thermodynamic and allosteric regulation.

Authors:  Kateri H DuBay; Gregory R Bowman; Phillip L Geissler
Journal:  Acc Chem Res       Date:  2015-02-17       Impact factor: 22.384

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Authors:  José A Caro; Kyle W Harpole; Vignesh Kasinath; Jackwee Lim; Jeffrey Granja; Kathleen G Valentine; Kim A Sharp; A Joshua Wand
Journal:  Proc Natl Acad Sci U S A       Date:  2017-06-05       Impact factor: 11.205

7.  IUPAC-IUB Commission on Biochemical Nomenclature. Abbreviations and symbols for the description of the conformation of polypeptide chains.

Authors: 
Journal:  J Mol Biol       Date:  1970-08-28       Impact factor: 5.469

8.  Molecular Mechanisms of Tight Binding through Fuzzy Interactions.

Authors:  Qingliang Shen; Jie Shi; Danyun Zeng; Baoyu Zhao; Pingwei Li; Wonmuk Hwang; Jae-Hyun Cho
Journal:  Biophys J       Date:  2018-03-27       Impact factor: 4.033

9.  Efficient calculation of molecular configurational entropies using an information theoretic approximation.

Authors:  Bracken M King; Nathaniel W Silver; Bruce Tidor
Journal:  J Phys Chem B       Date:  2012-02-22       Impact factor: 2.991

10.  Structural basis for the specific interaction of lysine-containing proline-rich peptides with the N-terminal SH3 domain of c-Crk.

Authors:  X Wu; B Knudsen; S M Feller; J Zheng; A Sali; D Cowburn; H Hanafusa; J Kuriyan
Journal:  Structure       Date:  1995-02-15       Impact factor: 5.006

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  1 in total

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Journal:  Sci Rep       Date:  2022-07-29       Impact factor: 4.996

  1 in total

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