Literature DB >> 26849615

Hamiltonian Dynamics of Protein Filament Formation.

Thomas C T Michaels1, Samuel I A Cohen1, Michele Vendruscolo1, Christopher M Dobson1, Tuomas P J Knowles1.   

Abstract

We establish the Hamiltonian structure of the rate equations describing the formation of protein filaments. We then show that this formalism provides a unified view of the behavior of a range of biological self-assembling systems as diverse as actin, prions, and amyloidogenic polypeptides. We further demonstrate that the time-translation symmetry of the resulting Hamiltonian leads to previously unsuggested conservation laws that connect the number and mass concentrations of fibrils and allow linear growth phenomena to be equated with autocatalytic growth processes. We finally show how these results reveal simple rate laws that provide the basis for interpreting experimental data in terms of specific mechanisms controlling the proliferation of fibrils.

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Year:  2016        PMID: 26849615     DOI: 10.1103/PhysRevLett.116.038101

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  6 in total

1.  Inferring Mechanistic Parameters from Amyloid Formation Kinetics by Approximate Bayesian Computation.

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Journal:  Biophys J       Date:  2017-03-14       Impact factor: 4.033

2.  A model for stretch growth of neurons.

Authors:  Prashant K Purohit; Douglas H Smith
Journal:  J Biomech       Date:  2016-11-18       Impact factor: 2.712

3.  Kinetic constraints on self-assembly into closed supramolecular structures.

Authors:  Thomas C T Michaels; Mathias M J Bellaiche; Michael F Hagan; Tuomas P J Knowles
Journal:  Sci Rep       Date:  2017-09-25       Impact factor: 4.379

4.  The catalytic nature of protein aggregation.

Authors:  Alexander J Dear; Georg Meisl; Thomas C T Michaels; Manuela R Zimmermann; Sara Linse; Tuomas P J Knowles
Journal:  J Chem Phys       Date:  2020-01-31       Impact factor: 3.488

5.  Quantitative prediction of erythrocyte sickling for the development of advanced sickle cell therapies.

Authors:  Lu Lu; Zhen Li; He Li; Xuejin Li; Peter G Vekilov; George Em Karniadakis
Journal:  Sci Adv       Date:  2019-08-21       Impact factor: 14.136

Review 6.  Mathematical Modeling of Protein Misfolding Mechanisms in Neurological Diseases: A Historical Overview.

Authors:  Felix Carbonell; Yasser Iturria-Medina; Alan C Evans
Journal:  Front Neurol       Date:  2018-02-02       Impact factor: 4.003

  6 in total

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