Literature DB >> 19585657

Identification of specificity and promiscuity of PDZ domain interactions through their dynamic behavior.

Z Nevin Gerek1, Ozlem Keskin, S Banu Ozkan.   

Abstract

PDZ domains (PDZs), the most common interaction domain proteins, play critical roles in many cellular processes. PDZs perform their job by binding specific protein partners. However, they are very promiscuous, binding to more than one protein, yet selective at the same time. We examined the binding related dynamics of various PDZs to have insight about their specificity and promiscuity. We used full atomic normal mode analysis and a modified coarse-grained elastic network model to compute the binding related dynamics. In the latter model, we introduced specificity for each single parameter constant and included the solvation effect implicitly. The modified model, referred to as specific-Gaussian Network Model (s-GNM), highlights some interesting differences in the conformational changes of PDZs upon binding to Class I or Class II type peptides. By clustering the residue fluctuation profiles of PDZs, we have shown: (i) binding selectivities can be discriminated from their dynamics, and (ii) the dynamics of different structural regions play critical roles for Class I and Class II specificity. s-GNM is further tested on a dual-specific PDZ which showed only Class I specificity when a point mutation exists on the betaA-betaB loop. We observe that the binding dynamics change consistently in the mutated and wild type structures. In addition, we found that the binding induced fluctuation profiles can be used to discriminate the binding selectivity of homolog structures. These results indicate that s-GNM can be a powerful method to study the changes in binding selectivities for mutant or homolog PDZs. 2009 Wiley-Liss, Inc.

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Year:  2009        PMID: 19585657     DOI: 10.1002/prot.22492

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  30 in total

1.  Manipulation of conformational change in proteins by single-residue perturbations.

Authors:  C Atilgan; Z N Gerek; S B Ozkan; A R Atilgan
Journal:  Biophys J       Date:  2010-08-04       Impact factor: 4.033

Review 2.  Emerging Themes in PDZ Domain Signaling: Structure, Function, and Inhibition.

Authors:  Xu Liu; Ernesto J Fuentes
Journal:  Int Rev Cell Mol Biol       Date:  2018-06-28       Impact factor: 6.813

3.  Computational Analysis of Energy Landscapes Reveals Dynamic Features That Contribute to Binding of Inhibitors to CFTR-Associated Ligand.

Authors:  Graham T Holt; Jonathan D Jou; Nicholas P Gill; Anna U Lowegard; Jeffrey W Martin; Dean R Madden; Bruce R Donald
Journal:  J Phys Chem B       Date:  2019-11-27       Impact factor: 2.991

4.  Viral PDZ Binding Motifs Influence Cell Behavior Through the Interaction with Cellular Proteins Containing PDZ Domains.

Authors:  Carlos Castaño-Rodriguez; Jose M Honrubia; Javier Gutiérrez-Álvarez; Isabel Sola; Luis Enjuanes
Journal:  Methods Mol Biol       Date:  2021

5.  Ancient thioredoxins evolved to modern-day stability-function requirement by altering native state ensemble.

Authors:  Tushar Modi; Jonathan Huihui; Kingshuk Ghosh; S Banu Ozkan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-06-19       Impact factor: 6.237

6.  BP-Dock: a flexible docking scheme for exploring protein-ligand interactions based on unbound structures.

Authors:  Ashini Bolia; Z Nevin Gerek; S Banu Ozkan
Journal:  J Chem Inf Model       Date:  2014-03-04       Impact factor: 4.956

7.  A flexible docking scheme to explore the binding selectivity of PDZ domains.

Authors:  Z Nevin Gerek; S Banu Ozkan
Journal:  Protein Sci       Date:  2010-05       Impact factor: 6.725

8.  Interaction prediction and classification of PDZ domains.

Authors:  Sibel Kalyoncu; Ozlem Keskin; Attila Gursoy
Journal:  BMC Bioinformatics       Date:  2010-06-30       Impact factor: 3.169

9.  SH3 domain-peptide binding energy calculations based on structural ensemble and multiple peptide templates.

Authors:  Seungpyo Hong; Taesu Chung; Dongsup Kim
Journal:  PLoS One       Date:  2010-09-15       Impact factor: 3.240

10.  Simultaneous prediction of binding free energy and specificity for PDZ domain-peptide interactions.

Authors:  Joseph J Crivelli; Gordon Lemmon; Kristian W Kaufmann; Jens Meiler
Journal:  J Comput Aided Mol Des       Date:  2013-12-05       Impact factor: 3.686

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