scholarly journals Homology- and coevolution-consistent structural models of bacterial copper-tolerance protein CopM support a ‘metal sponge’ function and suggest regions for metal-dependent protein-protein interactions

2015 ◽  
Author(s):  
Luciano A. Abriata

AbstractCopper is essential for life but toxic, therefore all organisms control tightly its intracellular abundance. Bacteria have indeed whole operons devoted to copper resistance, with genes that code for efflux pumps, oxidases, etc. Recently, the CopM protein of the CopMRS operon was described as a novel important element for copper tolerance in Synechocystis. This protein consists of a domain of unknown function, and was proposed to act as a periplasmic/extracellular copper binder. This work describes a bioinformatic study of CopM including structural models based on homology modeling and on residue coevolution, to help expand on its recent biochemical characterization. The protein is predicted to be periplasmic but membrane-anchored, not secreted. Two disordered regions are predicted, both possibly involved in protein-protein interactions. The 3D models disclose a 4-helix bundle with several potential copper-binding sites, most of them largely buried inside the bundle lumen. Some of the predicted copper-binding sites involve residues from the disordered regions, suggesting they could gain structure upon copper binding and thus possibly modulate the interactions they mediate. All models are provided as PDB files in the Supporting Information and can be visualized online at http://lucianoabriata.altervista.org/modelshome.htmlNote (January 2017): Recent X-ray structures of apo, copper- and silver-bound CopM are < 3Å RMSD away from the models, and reveal metal-dependent structural flexibility (Zhao et al Acta Crystallogr D Struct Biol. 2016)

Biomolecules ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 510
Author(s):  
Maho Yamamoto ◽  
Rina Kondo ◽  
Haruka Hozumi ◽  
Seita Doi ◽  
Miwako Denda ◽  
...  

During screening of protein-protein interactions, using human protein arrays carrying 19,676 recombinant glutathione s-transferase (GST)-fused human proteins, we identified the high-mobility protein group 20A (HMG20A) as a novel S100A6 binding partner. We confirmed the Ca2+-dependent interaction of HMG20A with S100A6 by the protein array method, biotinylated S100A6 overlay, and GST-pulldown assay in vitro and in transfected COS-7 cells. Co-immunoprecipitation of S100A6 with HMG20A from HeLa cells in a Ca2+-dependent manner revealed the physiological relevance of the S100A6/HMG20A interaction. In addition, HMG20A has the ability to interact with S100A1, S100A2, and S100B in a Ca2+-dependent manner, but not with S100A4, A11, A12, and calmodulin. S100A6 binding experiments using various HMG20A mutants revealed that Ca2+/S100A6 interacts with the C-terminal region (residues 311–342) of HMG20A with stoichiometric binding (HMG20A:S100A6 dimer = 1:1). This was confirmed by the fact that a GST-HMG20A mutant lacking the S100A6 binding region (residues 311–347, HMG20A-ΔC) failed to interact with endogenous S100A6 in transfected COS-7 cells, unlike wild-type HMG20A. Taken together, these results identify, for the first time, HMG20A as a target of Ca2+/S100 proteins, and may suggest a novel linkage between Ca2+/S100 protein signaling and HMG20A function, including in the regulation of neural differentiation.


2001 ◽  
Vol 204 (1-3) ◽  
pp. 31-46 ◽  
Author(s):  
Brian K. Bluhm ◽  
Sharon J. Shields ◽  
Craig A. Bayse ◽  
Michael B. Hall ◽  
David H. Russell

1998 ◽  
Vol 76 (2-3) ◽  
pp. 177-188 ◽  
Author(s):  
Jianxing Song ◽  
Feng Ni

Using the design of bivalent and bridge-binding inhibitors of thrombin as an example, we review an NMR-based experimental approach for the design of functional mimetics of protein-protein interactions. The strategy includes: (i) identification of binding residues in peptide ligands by differential resonance perturbation, (ii) determination of protein-bound structures of peptide ligands by use of transferred NOEs, (iii) minimization of larger protein and peptide ligands on the basis of NMR structural information, and (iv) linkage of two weakly binding mimetics to produce an inhibitor with enhanced affinity and specificity. This approach can be especially effective for the design of potent and selective functional mimetics of protein-protein interactions because it is less likely that the surfaces of two related proteins or enzymes share two identical binding sites or regions.Key words: NMR, protein-protein interactions, functional mimetics, bridge-binding inhibitors, thrombin.


2016 ◽  
Vol 113 (50) ◽  
pp. E8051-E8058 ◽  
Author(s):  
Fang Bai ◽  
Faruck Morcos ◽  
Ryan R. Cheng ◽  
Hualiang Jiang ◽  
José N. Onuchic

Protein−protein interactions play a central role in cellular function. Improving the understanding of complex formation has many practical applications, including the rational design of new therapeutic agents and the mechanisms governing signal transduction networks. The generally large, flat, and relatively featureless binding sites of protein complexes pose many challenges for drug design. Fragment docking and direct coupling analysis are used in an integrated computational method to estimate druggable protein−protein interfaces. (i) This method explores the binding of fragment-sized molecular probes on the protein surface using a molecular docking-based screen. (ii) The energetically favorable binding sites of the probes, called hot spots, are spatially clustered to map out candidate binding sites on the protein surface. (iii) A coevolution-based interface interaction score is used to discriminate between different candidate binding sites, yielding potential interfacial targets for therapeutic drug design. This approach is validated for important, well-studied disease-related proteins with known pharmaceutical targets, and also identifies targets that have yet to be studied. Moreover, therapeutic agents are proposed by chemically connecting the fragments that are strongly bound to the hot spots.


2017 ◽  
Vol 429 (18) ◽  
pp. 2790-2801 ◽  
Author(s):  
Alexander G. Kozlov ◽  
Min Kyung Shinn ◽  
Elizabeth A. Weiland ◽  
Timothy M. Lohman

2007 ◽  
pp. 4895 ◽  
Author(s):  
H. Bauke Albada ◽  
Fouad Soulimani ◽  
Bert M. Weckhuysen ◽  
Rob M. J. Liskamp

2009 ◽  
Vol 285 (9) ◽  
pp. 6327-6336 ◽  
Author(s):  
Erik S. LeShane ◽  
Ujwal Shinde ◽  
Joel M. Walker ◽  
Amanda N. Barry ◽  
Ninian J. Blackburn ◽  
...  

2013 ◽  
Vol 135 (44) ◽  
pp. 16618-16624 ◽  
Author(s):  
Thomas A. Cornell ◽  
Jing Fu ◽  
Stephanie H. Newland ◽  
Brendan P. Orner

2001 ◽  
Vol 21 (4) ◽  
pp. 594-602 ◽  
Author(s):  
Alexander Roland ◽  
Rebecca A. Patterson ◽  
David S. Leake

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