Literature DB >> 21426127

Finding order within disorder: elucidating the structure of proteins associated with neurodegenerative disease.

Austin Huang1, Collin M Stultz.   

Abstract

A number of neurodegenerative disorders, such as Alzheimer's disease and Parkinson's disease, involve the formation of protein aggregates. The primary constituent of these aggregates belongs to a unique class of heteropolymers known as intrinsically disordered proteins (IDPs). While many proteins fold to a unique conformation that is determined by their amino acid sequence, IDPs do not adopt a single well-defined conformation in solution. Instead, they populate a heterogeneous set of conformers under physiological conditions. Despite this intrinsic propensity for disorder, a number of these proteins can form ordered aggregates both in vitro and in vivo. As the formation of these aggregates may play an important role in disease pathogenesis, a detailed structural characterization of these proteins and their mechanism of aggregation is of critical importance. However, new methods are needed to understand the diversity of structures that make up the unfolded ensemble of these systems. In this review, we discuss recent advances in the structural analysis and modeling of IDPs involved in neurodegenerative diseases. While there are challenges in both the experimental characterization and the modeling of such proteins, a comprehensive understanding of the structure of IDPs will likely facilitate the development of effective therapies for a number of neurodegenerative diseases.

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Year:  2009        PMID: 21426127     DOI: 10.4155/fmc.09.40

Source DB:  PubMed          Journal:  Future Med Chem        ISSN: 1756-8919            Impact factor:   3.808


  13 in total

1.  Using a reduced dimensionality model to compute the thermodynamic properties of finite polypeptide aggregates.

Authors:  Gustavo E López; Anthony Cruz; Melyorise Sepulveda-Chervony; Juan López-Garriga; Madeline Torres-Lugo
Journal:  J Biol Phys       Date:  2012-02-02       Impact factor: 1.365

2.  From sequence and forces to structure, function, and evolution of intrinsically disordered proteins.

Authors:  Julie D Forman-Kay; Tanja Mittag
Journal:  Structure       Date:  2013-09-03       Impact factor: 5.006

3.  Comparative studies of disordered proteins with similar sequences: application to Aβ40 and Aβ42.

Authors:  Charles K Fisher; Orly Ullman; Collin M Stultz
Journal:  Biophys J       Date:  2013-04-02       Impact factor: 4.033

4.  Multi-scale ensemble modeling of modular proteins with intrinsically disordered linker regions: application to p53.

Authors:  Tsuyoshi Terakawa; Junichi Higo; Shoji Takada
Journal:  Biophys J       Date:  2014-08-05       Impact factor: 4.033

Review 5.  Constructing ensembles for intrinsically disordered proteins.

Authors:  Charles K Fisher; Collin M Stultz
Journal:  Curr Opin Struct Biol       Date:  2011-04-27       Impact factor: 6.809

6.  Torsional behavior of axonal microtubule bundles.

Authors:  Carole Lazarus; Mohammad Soheilypour; Mohammad R K Mofrad
Journal:  Biophys J       Date:  2015-07-21       Impact factor: 4.033

7.  Efficient construction of disordered protein ensembles in a Bayesian framework with optimal selection of conformations.

Authors:  Charles K Fisher; Orly Ullman; Collin M Stultz
Journal:  Pac Symp Biocomput       Date:  2012

8.  Modeling intrinsically disordered proteins with bayesian statistics.

Authors:  Charles K Fisher; Austin Huang; Collin M Stultz
Journal:  J Am Chem Soc       Date:  2010-10-27       Impact factor: 15.419

9.  α-Synuclein misfolding assessed with single molecule AFM force spectroscopy: effect of pathogenic mutations.

Authors:  Alexey V Krasnoslobodtsev; Ivan L Volkov; Josephat M Asiago; Jagadish Hindupur; Jean-Christophe Rochet; Yuri L Lyubchenko
Journal:  Biochemistry       Date:  2013-10-10       Impact factor: 3.162

10.  Protein structure along the order-disorder continuum.

Authors:  Charles K Fisher; Collin M Stultz
Journal:  J Am Chem Soc       Date:  2011-06-13       Impact factor: 15.419

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