scholarly journals Identification of Protein-Protein Interactions Between the TatB and TatC Subunits of the Twin-Arginine Translocase System and the Redox Enzyme Maturation Protein Chaperones

2014 ◽  
Vol 106 (2) ◽  
pp. 669a
Author(s):  
Lalita Kuzniatsova ◽  
Raymond J. Turner
2019 ◽  
Vol 111 (6) ◽  
pp. 1592-1603 ◽  
Author(s):  
Benjamin J. Pinchbeck ◽  
Manuel J. Soriano‐Laguna ◽  
Matthew J. Sullivan ◽  
Victor M. Luque‐Almagro ◽  
Gary Rowley ◽  
...  

2014 ◽  
Vol 1838 (12) ◽  
pp. 2971-2984 ◽  
Author(s):  
Catherine S. Chan ◽  
Denice C. Bay ◽  
Thorin G.H. Leach ◽  
Tara M.L. Winstone ◽  
Lalita Kuzniatsova ◽  
...  

2004 ◽  
Vol 50 (4) ◽  
pp. 225-238 ◽  
Author(s):  
Raymond J Turner ◽  
Andriyka L Papish ◽  
Frank Sargent

The twin-arginine protein transport (Tat) system is a remarkable molecular machine dedicated to the translocation of fully folded proteins across energy-transducing membranes. Complex cofactor-containing Tat substrates acquire their cofactors prior to export, and substrate proteins actually require to be folded before transport can proceed. Thus, it is very likely that mechanisms exist to prevent wasteful export of immature Tat substrates or to curb competition between immature and mature substrates for the transporter. Here we assess the primary sequence relationships between the accessory proteins implicated in this process during assembly of key respiratory enzymes in the model prokaryote Escherichia coli. For each respiratory enzyme studied, a redox enzyme maturation protein (REMP) was assigned. The main finding from this review was the hitherto unexpected link between the Tat-linked REMP DmsD and the nitrate reductase biosynthetic protein NarJ. The evolutionary link between Tat transport and cofactor insertion processes is discussed.Key words: Tat translocase, twin-arginine leader, hydrogenase, nitrate reductase, TMAO reductase, DMSO reductase, formate dehydrogenase, Tor, Dms, Hya, Hyb, Fdh, Nap.


2007 ◽  
Vol 63 (3) ◽  
pp. 348-354 ◽  
Author(s):  
Olga Kirillova ◽  
Maksymilian Chruszcz ◽  
Igor A. Shumilin ◽  
Tatiana Skarina ◽  
Elena Gorodichtchenskaia ◽  
...  

2011 ◽  
Vol 49 (08) ◽  
Author(s):  
LC König ◽  
M Meinhard ◽  
C Sandig ◽  
MH Bender ◽  
A Lovas ◽  
...  

1974 ◽  
Vol 31 (03) ◽  
pp. 403-414 ◽  
Author(s):  
Terence Cartwright

SummaryA method is described for the extraction with buffers of near physiological pH of a plasminogen activator from porcine salivary glands. Substantial purification of the activator was achieved although this was to some extent complicated by concomitant extraction of nucleic acid from the glands. Preliminary characterization experiments using specific inhibitors suggested that the activator functioned by a similar mechanism to that proposed for urokinase, but with some important kinetic differences in two-stage assay systems. The lack of reactivity of the pig gland enzyme in these systems might be related to the tendency to protein-protein interactions observed with this material.


2020 ◽  
Author(s):  
Salvador Guardiola ◽  
Monica Varese ◽  
Xavier Roig ◽  
Jesús Garcia ◽  
Ernest Giralt

<p>NOTE: This preprint has been retracted by consensus from all authors. See the retraction notice in place above; the original text can be found under "Version 1", accessible from the version selector above.</p><p><br></p><p>------------------------------------------------------------------------</p><p><br></p><p>Peptides, together with antibodies, are among the most potent biochemical tools to modulate challenging protein-protein interactions. However, current structure-based methods are largely limited to natural peptides and are not suitable for designing target-specific binders with improved pharmaceutical properties, such as macrocyclic peptides. Here we report a general framework that leverages the computational power of Rosetta for large-scale backbone sampling and energy scoring, followed by side-chain composition, to design heterochiral cyclic peptides that bind to a protein surface of interest. To showcase the applicability of our approach, we identified two peptides (PD-<i>i</i>3 and PD-<i>i</i>6) that target PD-1, a key immune checkpoint, and work as protein ligand decoys. A comprehensive biophysical evaluation confirmed their binding mechanism to PD-1 and their inhibitory effect on the PD-1/PD-L1 interaction. Finally, elucidation of their solution structures by NMR served as validation of our <i>de novo </i>design approach. We anticipate that our results will provide a general framework for designing target-specific drug-like peptides.<i></i></p>


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