Literature DB >> 23821606

Protonation-dependent conformational variability of intrinsically disordered proteins.

Leonhard Geist1, Morkos A Henen, Sandra Haiderer, Thomas C Schwarz, Dennis Kurzbach, Anna Zawadzka-Kazimierczuk, Saurabh Saxena, Szymon Zerko, Wiktor Koźmiński, Dariush Hinderberger, Robert Konrat.   

Abstract

Intrinsically disordered proteins (IDPs) are characterized by substantial conformational plasticity and undergo rearrangements of the time-averaged conformational ensemble on changes of environmental conditions (e.g., in ionic strength, pH, molecular crowding). In contrast to stably folded proteins, IDPs often form compact conformations at acidic pH. The biological relevance of this process was, for example, demonstrated by nuclear magnetic resonance studies of the aggregation prone (low pH) state of α-synuclein. In this study, we report a large-scale analysis of the pH dependence of disordered proteins using the recently developed meta-structure approach. The meta-structure analysis of a large set of IDPs revealed a significant tendency of IDPs to form α-helical secondary structure elements and to preferentially fold into more compact structures under acidic conditions. The predictive validity of this novel approach was demonstrated with applications to the tumor-suppressor BASP1 and the transcription factor Tcf4.
Copyright © 2013 The Protein Society.

Entities:  

Keywords:  EPR spectroscopy; biomolecular NMR; intrinsically disordered proteins; pH dependence; protein meta-structure; structural biology

Mesh:

Substances:

Year:  2013        PMID: 23821606      PMCID: PMC3776332          DOI: 10.1002/pro.2304

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


  41 in total

Review 1.  Intrinsically unstructured proteins: re-assessing the protein structure-function paradigm.

Authors:  P E Wright; H J Dyson
Journal:  J Mol Biol       Date:  1999-10-22       Impact factor: 5.469

2.  On the origin of cancer cells.

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3.  Preformed structural elements feature in partner recognition by intrinsically unstructured proteins.

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4.  Meta-structure correlation in protein space unveils different selection rules for folded and intrinsically disordered proteins.

Authors:  Yandi Naranjo; Miquel Pons; Robert Konrat
Journal:  Mol Biosyst       Date:  2011-11-23

Review 5.  Unusual biophysics of intrinsically disordered proteins.

Authors:  Vladimir N Uversky
Journal:  Biochim Biophys Acta       Date:  2012-12-23

6.  Tcf4 can specifically recognize beta-catenin using alternative conformations.

Authors:  T A Graham; D M Ferkey; F Mao; D Kimelman; W Xu
Journal:  Nat Struct Biol       Date:  2001-12

7.  The metastasis-associated extracellular matrix protein osteopontin forms transient structure in ligand interaction sites.

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Journal:  Biochemistry       Date:  2011-06-16       Impact factor: 3.162

8.  Context-independent, temperature-dependent helical propensities for amino acid residues.

Authors:  Robert J Moreau; Christian R Schubert; Khaled A Nasr; Marianna Török; Justin S Miller; Robert J Kennedy; Daniel S Kemp
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9.  Dynamic interaction between WT1 and BASP1 in transcriptional regulation during differentiation.

Authors:  Laura M Green; Kate J Wagner; Hayley A Campbell; Kelly Addison; Stefan G E Roberts
Journal:  Nucleic Acids Res       Date:  2008-12-02       Impact factor: 16.971

10.  SLiMDisc: short, linear motif discovery, correcting for common evolutionary descent.

Authors:  Norman E Davey; Denis C Shields; Richard J Edwards
Journal:  Nucleic Acids Res       Date:  2006-07-19       Impact factor: 16.971

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  11 in total

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Journal:  Protein Sci       Date:  2016-06-19       Impact factor: 6.725

2.  Network representation of protein interactions-Experimental results.

Authors:  Dennis Kurzbach; Andrea G Flamm; Tomáš Sára
Journal:  Protein Sci       Date:  2016-06-16       Impact factor: 6.725

3.  Effect of temperature on the conformation of natively unfolded protein 4E-BP1 in aqueous and mixed solutions containing trifluoroethanol and hexafluoroisopropanol.

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4.  Effects of pH on an IDP conformational ensemble explored by molecular dynamics simulation.

Authors:  Richard J Lindsay; Rachael A Mansbach; S Gnanakaran; Tongye Shen
Journal:  Biophys Chem       Date:  2021-01-26       Impact factor: 2.352

Review 5.  NMR contributions to structural dynamics studies of intrinsically disordered proteins.

Authors:  Robert Konrat
Journal:  J Magn Reson       Date:  2014-04       Impact factor: 2.229

6.  The Ramachandran Number: An Order Parameter for Protein Geometry.

Authors:  Ranjan V Mannige; Joyjit Kundu; Stephen Whitelam
Journal:  PLoS One       Date:  2016-08-04       Impact factor: 3.240

Review 7.  Digested disorder: Quarterly intrinsic disorder digest (July-August-September, 2013).

Authors:  Krishna D Reddy; Shelly DeForte; Vladimir N Uversky
Journal:  Intrinsically Disord Proteins       Date:  2014-05-19

8.  Structure and regulatory interactions of the cytoplasmic terminal domains of serotonin transporter.

Authors:  Cristina Fenollar-Ferrer; Thomas Stockner; Thomas C Schwarz; Aritra Pal; Jelena Gotovina; Tina Hofmaier; Kumaresan Jayaraman; Suraj Adhikary; Oliver Kudlacek; Ahmad Reza Mehdipour; Sotiria Tavoulari; Gary Rudnick; Satinder K Singh; Robert Konrat; Harald H Sitte; Lucy R Forrest
Journal:  Biochemistry       Date:  2014-08-15       Impact factor: 3.321

9.  High resolution 4D HPCH experiment for sequential assignment of (13)C-labeled RNAs via phosphodiester backbone.

Authors:  Saurabh Saxena; Jan Stanek; Mirko Cevec; Janez Plavec; Wiktor Koźmiński
Journal:  J Biomol NMR       Date:  2015-09-26       Impact factor: 2.835

10.  The BackMAP Python module: how a simpler Ramachandran number can simplify the life of a protein simulator.

Authors:  Ranjan Mannige
Journal:  PeerJ       Date:  2018-10-16       Impact factor: 2.984

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