Literature DB >> 25152391

Structure of the GH1 domain of guanylate kinase-associated protein from Rattus norvegicus.

Junsen Tong1, Huiseon Yang1, Soo Hyun Eom2, ChangJu Chun3, Young Jun Im4.   

Abstract

Guanylate-kinase-associated protein (GKAP) is a scaffolding protein that links NMDA receptor-PSD-95 to Shank-Homer complexes by protein-protein interactions at the synaptic junction. GKAP family proteins are characterized by the presence of a C-terminal conserved GKAP homology domain 1 (GH1) of unknown structure and function. In this study, crystal structure of the GH1 domain of GKAP from Rattus norvegicus was determined in fusion with an N-terminal maltose-binding protein at 2.0 Å resolution. The structure of GKAP GH1 displays a three-helix bundle connected by short flexible loops. The predicted helix α4 which was not visible in the crystal structure associates weakly with the helix α3 suggesting dynamic nature of the GH1 domain. The strict conservation of GH1 domain across GKAP family members and the lack of a catalytic active site required for enzyme activity imply that the GH1 domain might serve as a protein-protein interaction module for the synaptic protein clustering.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  GKAP; Helix bundle; Protein structure; Protein–protein interaction; Synaptic scaffolding protein; X-ray crystallography

Mesh:

Substances:

Year:  2014        PMID: 25152391     DOI: 10.1016/j.bbrc.2014.08.073

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  6 in total

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Review 4.  The DLGAP family: neuronal expression, function and role in brain disorders.

Authors:  Andreas H Rasmussen; Hanne B Rasmussen; Asli Silahtaroglu
Journal:  Mol Brain       Date:  2017-09-04       Impact factor: 4.041

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Journal:  Front Genet       Date:  2022-07-08       Impact factor: 4.772

6.  Examination of the expression and prognostic significance of DLGAPs in gastric cancer using the TCGA database and bioinformatic analysis.

Authors:  Jiaxin Liu; Zhao Liu; Xiaozhi Zhang; Tuotuo Gong; Demao Yao
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  6 in total

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