Literature DB >> 20602358

Insight into the correlation between lag time and aggregation rate in the kinetics of protein aggregation.

Stefan Auer1, Dimo Kashchiev.   

Abstract

Under favorable conditions, many proteins can assemble into macroscopically large aggregates such as the amyloid fibrils that are associated with Alzheimer's, Parkinson's, and other neurological and systemic diseases. The overall process of protein aggregation is characterized by initial lag time during which no detectable aggregation occurs in the solution and by maximal aggregation rate at which the dissolved protein converts into aggregates. In this study, the correlation between the lag time and the maximal rate of protein aggregation is analyzed. It is found that the product of these two quantities depends on a single numerical parameter, the kinetic index of the curve quantifying the time evolution of the fraction of protein aggregated. As this index depends relatively little on the conditions and/or system studied, our finding provides insight into why for many experiments the values of the product of the lag time and the maximal aggregation rate are often equal or quite close to each other. It is shown how the kinetic index is related to a basic kinetic parameter of a recently proposed theory of protein aggregation. 2010 Wiley-Liss, Inc.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20602358     DOI: 10.1002/prot.22762

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  7 in total

1.  Size distribution of amyloid nanofibrils.

Authors:  Raffaela Cabriolu; Dimo Kashchiev; Stefan Auer
Journal:  Biophys J       Date:  2011-11-01       Impact factor: 4.033

2.  A generic crystallization-like model that describes the kinetics of amyloid fibril formation.

Authors:  Rosa Crespo; Fernando A Rocha; Ana M Damas; Pedro M Martins
Journal:  J Biol Chem       Date:  2012-07-05       Impact factor: 5.157

Review 3.  Insulin Formulation Characterization-the Thioflavin T Assays.

Authors:  Morten Schlein
Journal:  AAPS J       Date:  2016-12-20       Impact factor: 4.009

4.  Kinetic profile of amyloid formation in the presence of an aromatic inhibitor by nuclear magnetic resonance.

Authors:  Gai Liu; Jennifer C Gaines; Kevin J Robbins; Noel D Lazo
Journal:  ACS Med Chem Lett       Date:  2012-08-28       Impact factor: 4.345

5.  Nucleated polymerisation in the presence of pre-formed seed filaments.

Authors:  Samuel I A Cohen; Michele Vendruscolo; Christopher M Dobson; Tuomas P J Knowles
Journal:  Int J Mol Sci       Date:  2011-09-09       Impact factor: 5.923

Review 6.  The Impact of Mathematical Modeling in Understanding the Mechanisms Underlying Neurodegeneration: Evolving Dimensions and Future Directions.

Authors:  A Lloret-Villas; T M Varusai; N Juty; C Laibe; N Le NovÈre; H Hermjakob; V Chelliah
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-01-07

7.  Stoichiometry for binding and transport by the twin arginine translocation system.

Authors:  Jose M Celedon; Kenneth Cline
Journal:  J Cell Biol       Date:  2012-05-07       Impact factor: 10.539

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.