期刊
JOURNAL OF MOLECULAR GRAPHICS & MODELLING
卷 29, 期 8, 页码 1015-1024出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.jmgm.2011.04.008
关键词
Dystroglycan; Ig-like fold; Protein modelling; Molecular dynamics; Dystroglycanopathies
类别
资金
- Association Francaise contre les Myopathies (AFM)
Dystroglycan (DG) is a cell surface receptor which is composed of two subunits that interact noncovalently, namely alpha- and beta-DG. In skeletal muscle, DG is the central component of the dystrophin-glycoprotein complex (DGC) that anchors the actin cytoskeleton to the extracellular matrix. To date only the three-dimensional structure of the N-terminal region of alpha-DG has been solved by X-ray crystallography. To expand such a structural analysis, a theoretical molecular model of the murine alpha-DG C-terminal region was built based on folding recognition/threading techniques. Although there is no a significant (<30%) sequence homology with the N-terminal region of alpha-DG, protein fold recognition methods found a significant resemblance to the alpha-DG N-terminal crystallographic structure. Our in silico structural prediction identified two subdomains in this region. Amino acid residues similar to 500-600 of alpha-DG were predicted to adopt an immunoglobulin-like (Ig-like) beta-sandwich fold. Such modeled domain includes the beta-DG binding epitope of alpha-DG and, confirming our previous experimental results, suggests that the linear epitope (residues 550-565) assumes a beta-strand conformation. The remaining segment of the alpha-DG C-terminal region (residues 601-653) is organized in a coil-helix-coil motif. A 20-ns molecular dynamics simulation in explicit water solvent provided support to the predicted Ig-like model structure. The identification of a second Ig-like domain in DG represents another important step towards a full structural and functional description of the alpha/beta DG interface. Preliminary characterization of a novel recombinant peptide (505-600) encompassing this second lg-like domain demonstrates that it is soluble and stable, further corroborating our in silico analysis. (C) 2011 Elsevier Inc. All rights reserved.
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