Literature DB >> 18568165

The Zyggregator method for predicting protein aggregation propensities.

Gian Gaetano Tartaglia1, Michele Vendruscolo.   

Abstract

Protein aggregation causes many devastating neurological and systemic diseases and represents a major problem in the preparation of recombinant proteins in biotechnology. Major advances in understanding the causes of this phenomenon have been made through the realisation that the analysis of the physico-chemical characteristics of the amino acids can provide accurate predictions about the rates of growth of the misfolded assemblies and the specific regions of the sequences that promote aggregation. More recently it has also been shown that the toxicity in vivo of protein aggregates can be predicted by estimating the propensity of polypeptide chains to form protofibrillar assemblies. In this tutorial review we describe the development of these predictions made through the Zyggregator method and the applications that have been explored so far.

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Year:  2008        PMID: 18568165     DOI: 10.1039/b706784b

Source DB:  PubMed          Journal:  Chem Soc Rev        ISSN: 0306-0012            Impact factor:   54.564


  116 in total

1.  The impact of solubility and electrostatics on fibril formation by the H3 and H4 histones.

Authors:  Traci B Topping; Lisa M Gloss
Journal:  Protein Sci       Date:  2011-11-09       Impact factor: 6.725

2.  Mechanisms of protein oligomerization, the critical role of insertions and deletions in maintaining different oligomeric states.

Authors:  Kosuke Hashimoto; Anna R Panchenko
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-03       Impact factor: 11.205

3.  Analysis of the Amyloidogenic Potential of Pufferfish (Takifugu rubripes) Islet Amyloid Polypeptide Highlights the Limitations of Thioflavin-T Assays and the Difficulties in Defining Amyloidogenicity.

Authors:  Amy G Wong; Chun Wu; Eleni Hannaberry; Matthew D Watson; Joan-Emma Shea; Daniel P Raleigh
Journal:  Biochemistry       Date:  2016-01-13       Impact factor: 3.162

4.  A pH-dependent switch promotes β-synuclein fibril formation via glutamate residues.

Authors:  Gina M Moriarty; Michael P Olson; Tamr B Atieh; Maria K Janowska; Sagar D Khare; Jean Baum
Journal:  J Biol Chem       Date:  2017-07-14       Impact factor: 5.157

5.  Physicochemical principles that regulate the competition between functional and dysfunctional association of proteins.

Authors:  Sebastian Pechmann; Emmanuel D Levy; Gian Gaetano Tartaglia; Michele Vendruscolo
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-05       Impact factor: 11.205

6.  Identification of fibril-like tertiary contacts in soluble monomeric α-synuclein.

Authors:  Santiago Esteban-Martín; Jordi Silvestre-Ryan; Carlos W Bertoncini; Xavier Salvatella
Journal:  Biophys J       Date:  2013-09-03       Impact factor: 4.033

7.  Atomic Resolution Structure of Monomorphic Aβ42 Amyloid Fibrils.

Authors:  Michael T Colvin; Robert Silvers; Qing Zhe Ni; Thach V Can; Ivan Sergeyev; Melanie Rosay; Kevin J Donovan; Brian Michael; Joseph Wall; Sara Linse; Robert G Griffin
Journal:  J Am Chem Soc       Date:  2016-07-14       Impact factor: 15.419

8.  Translationally optimal codons associate with aggregation-prone sites in proteins.

Authors:  Yaelim Lee; Tong Zhou; Gian Gaetano Tartaglia; Michele Vendruscolo; Claus O Wilke
Journal:  Proteomics       Date:  2010-12       Impact factor: 3.984

9.  Synergistic long-range effects of mutations underlie aggregation propensities of amylin analogues.

Authors:  Nelson A Alves; Luis G Dias; Rafael B Frigori
Journal:  J Mol Model       Date:  2019-08-19       Impact factor: 1.810

10.  Early folding events protect aggregation-prone regions of a β-rich protein.

Authors:  Ivan L Budyak; Beena Krishnan; Anna M Marcelino-Cruz; Mylene C Ferrolino; Anastasia Zhuravleva; Lila M Gierasch
Journal:  Structure       Date:  2013-03-05       Impact factor: 5.006

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