Literature DB >> 28295918

Intrinsically disordered inhibitor of glutamine synthetase is a functional protein with random-coil-like pKa values.

Concetta Cozza1, José L Neira2,3, Francisco J Florencio4, M Isabel Muro-Pastor4, Bruno Rizzuti5.   

Abstract

The sequential action of glutamine synthetase (GS) and glutamate synthase (GOGAT) in cyanobacteria allows the incorporation of ammonium into carbon skeletons. In the cyanobacterium Synechocystis sp. PCC 6803, the activity of GS is modulated by the interaction with proteins, which include a 65-residue-long intrinsically disordered protein (IDP), the inactivating factor IF7. This interaction is regulated by the presence of charged residues in both IF7 and GS. To understand how charged amino acids can affect the binding of an IDP with its target and to provide clues on electrostatic interactions in disordered states of proteins, we measured the pKa values of all IF7 acidic groups (Glu32, Glu36, Glu38, Asp40, Asp58, and Ser65, the backbone C-terminus) at 100 mM NaCl concentration, by using NMR spectroscopy. We also obtained solution structures of IF7 through molecular dynamics simulation, validated them on the basis of previous experiments, and used them to obtain theoretical estimates of the pKa values. Titration values for the two Asp and three Glu residues of IF7 were similar to those reported for random-coil models, suggesting the lack of electrostatic interactions around these residues. Furthermore, our results suggest the presence of helical structure at the N-terminus of the protein and of conformational changes at acidic pH values. The overall experimental and in silico findings suggest that local interactions and conformational equilibria do not play a role in determining the electrostatic features of the acidic residues of IF7.
© 2017 The Protein Society.

Entities:  

Keywords:  electrostatics; intrinsically disordered proteins; molecular dynamics; nuclear magnetic resonance; pKa values; titration

Mesh:

Substances:

Year:  2017        PMID: 28295918      PMCID: PMC5441422          DOI: 10.1002/pro.3157

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  52 in total

1.  Net charge per residue modulates conformational ensembles of intrinsically disordered proteins.

Authors:  Albert H Mao; Scott L Crick; Andreas Vitalis; Caitlin L Chicoine; Rohit V Pappu
Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-19       Impact factor: 11.205

2.  DelPhiPKa web server: predicting pKa of proteins, RNAs and DNAs.

Authors:  Lin Wang; Min Zhang; Emil Alexov
Journal:  Bioinformatics       Date:  2015-10-29       Impact factor: 6.937

3.  PROPKA3: Consistent Treatment of Internal and Surface Residues in Empirical pKa Predictions.

Authors:  Mats H M Olsson; Chresten R Søndergaard; Michal Rostkowski; Jan H Jensen
Journal:  J Chem Theory Comput       Date:  2011-01-06       Impact factor: 6.006

Review 4.  Progress in the prediction of pKa values in proteins.

Authors:  Emil Alexov; Ernest L Mehler; Nathan Baker; António M Baptista; Yong Huang; Francesca Milletti; Jens Erik Nielsen; Damien Farrell; Tommy Carstensen; Mats H M Olsson; Jana K Shen; Jim Warwicker; Sarah Williams; J Michael Word
Journal:  Proteins       Date:  2011-10-15

Review 5.  Protein ionizable groups: pK values and their contribution to protein stability and solubility.

Authors:  C Nick Pace; Gerald R Grimsley; J Martin Scholtz
Journal:  J Biol Chem       Date:  2009-01-21       Impact factor: 5.157

6.  GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit.

Authors:  Sander Pronk; Szilárd Páll; Roland Schulz; Per Larsson; Pär Bjelkmar; Rossen Apostolov; Michael R Shirts; Jeremy C Smith; Peter M Kasson; David van der Spoel; Berk Hess; Erik Lindahl
Journal:  Bioinformatics       Date:  2013-02-13       Impact factor: 6.937

Review 7.  Intrinsically disordered proteins in cellular signalling and regulation.

Authors:  Peter E Wright; H Jane Dyson
Journal:  Nat Rev Mol Cell Biol       Date:  2015-01       Impact factor: 94.444

8.  1H, 13C and 15N chemical shift referencing in biomolecular NMR.

Authors:  D S Wishart; C G Bigam; J Yao; F Abildgaard; H J Dyson; E Oldfield; J L Markley; B D Sykes
Journal:  J Biomol NMR       Date:  1995-09       Impact factor: 2.835

9.  Improved side-chain torsion potentials for the Amber ff99SB protein force field.

Authors:  Kresten Lindorff-Larsen; Stefano Piana; Kim Palmo; Paul Maragakis; John L Klepeis; Ron O Dror; David E Shaw
Journal:  Proteins       Date:  2010-06

Review 10.  The alphabet of intrinsic disorder: I. Act like a Pro: On the abundance and roles of proline residues in intrinsically disordered proteins.

Authors:  Francois-Xavier Theillet; Lajos Kalmar; Peter Tompa; Kyou-Hoon Han; Philipp Selenko; A Keith Dunker; Gary W Daughdrill; Vladimir N Uversky
Journal:  Intrinsically Disord Proteins       Date:  2013-04-01
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