Literature DB >> 27323250

Coarse Master Equations for Binding Kinetics of Amyloid Peptide Dimers.

Cathal T Leahy1,2, Ronan D Murphy1,2, Gerhard Hummer3, Edina Rosta4, Nicolae-Viorel Buchete1,2.   

Abstract

We characterize the kinetics of dimer formation of the short amyloid microcrystal-forming tetrapeptides NNQQ by constructing coarse master equations for the conformational dynamics of the system, using temperature replica-exchange molecular dynamics (REMD) simulations. We minimize the effects of Kramers-type recrossings by assigning conformational states based on their sequential time evolution. Transition rates are further estimated from short-time state propagators by maximizing the likelihood that the extracted rates agree with the observed atomistic trajectories without any a priori assumptions about their temperature dependence. Here, we evaluate the rates for both continuous replica trajectories that visit different temperatures and for discontinuous data corresponding to each REMD temperature. While the binding-unbinding kinetic process is clearly Markovian, the conformational dynamics of the bound NNQQ dimer has a complex character. Our kinetic analysis allows us to discriminate between short-lived encounter pairs and strongly bound conformational states. The conformational dynamics of NNQQ dimers supports a kinetically driven aggregation mechanism, in agreement with the polymorphic character reported for amyloid aggregates such as microcrystals and fibrils.

Entities:  

Year:  2016        PMID: 27323250     DOI: 10.1021/acs.jpclett.6b00518

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  7 in total

1.  Conformational analysis of replica exchange MD: Temperature-dependent Markov networks for FF amyloid peptides.

Authors:  Brajesh Narayan; Colm Herbert; Ye Yuan; Brian J Rodriguez; Bernard R Brooks; Nicolae-Viorel Buchete
Journal:  J Chem Phys       Date:  2018-08-21       Impact factor: 3.488

2.  Hierarchical Markov State Model Building to Describe Molecular Processes.

Authors:  David K Wolfe; Joseph R Persichetti; Ajeet K Sharma; Phillip S Hudson; H Lee Woodcock; Edward P O'Brien
Journal:  J Chem Theory Comput       Date:  2020-02-17       Impact factor: 6.006

3.  Comparison of force fields for Alzheimer's A β42: A case study for intrinsically disordered proteins.

Authors:  Martín Carballo-Pacheco; Birgit Strodel
Journal:  Protein Sci       Date:  2016-10-26       Impact factor: 6.725

4.  Mechanistic Kinetic Model Reveals How Amyloidogenic Hydrophobic Patches Facilitate the Amyloid-β Fibril Elongation.

Authors:  Hengyi Xie; Ana Rojas; Gia G Maisuradze; George Khelashvili
Journal:  ACS Chem Neurosci       Date:  2022-03-08       Impact factor: 4.418

5.  SARAH Domain-Mediated MST2-RASSF Dimeric Interactions.

Authors:  Goar Sánchez-Sanz; Bartłomiej Tywoniuk; David Matallanas; David Romano; Lan K Nguyen; Boris N Kholodenko; Edina Rosta; Walter Kolch; Nicolae-Viorel Buchete
Journal:  PLoS Comput Biol       Date:  2016-10-07       Impact factor: 4.475

6.  Is the Conformational Ensemble of Alzheimer's Aβ10-40 Peptide Force Field Dependent?

Authors:  Christopher M Siwy; Christopher Lockhart; Dmitri K Klimov
Journal:  PLoS Comput Biol       Date:  2017-01-13       Impact factor: 4.475

7.  Long-range Regulation of Partially Folded Amyloidogenic Peptides.

Authors:  Shayon Bhattacharya; Liang Xu; Damien Thompson
Journal:  Sci Rep       Date:  2020-05-05       Impact factor: 4.379

  7 in total

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