Literature DB >> 19045373

Probing the mechanisms of fibril formation using lattice models.

Mai Suan Li1, D K Klimov, J E Straub, D Thirumalai.   

Abstract

Using exhaustive Monte Carlo simulations we study the kinetics and mechanism of fibril formation using lattice models as a function of temperature (T) and the number of chains (M). While these models are, at best, caricatures of peptides, we show that a number of generic features thought to govern fibril assembly are captured by the toy model. The monomer, which contains eight beads made from three letters (hydrophobic, polar, and charged), adopts a compact conformation in the native state. In both the single-layered protofilament (seen for M<or=10) and the two-layer fibril (M>10) structures, the monomers are arranged in an antiparallel fashion with the "strandlike" conformation that is perpendicular to the fibril axis. Partial unfolding of the folded monomer that populates an aggregation prone conformation (N(*)) is required for ordered assembly. The contacts in the N(*) conformation, which is one of the four structures in the first "excited" state of the monomer, are also present in the native conformation. The time scale for fibril formation is a minimum in the T-range when the conformation N(*) is substantially populated. The kinetics of fibril assembly occurs in three distinct stages. In each stage there is a cascade of events that transforms the monomers and oligomers to ordered structures. In the first "burst" stage, highly mobile oligomers of varying sizes form. The conversion to the N(*) conformation occurs within the oligomers during the second stage in which a vast number of interchain contacts are established. As time progresses, a dominant cluster emerges that contains a majority of the chains. In the final stage, the aggregation of N(*) particles serve as a template onto which smaller oligomers or monomers can dock and undergo conversion to fibril structures. The overall time for growth in the latter stages is well described by the Lifshitz-Slyazov growth kinetics for crystallization from supersaturated solutions. The detailed analysis shows that elements of the three popular models, namely, nucleation and growth, templated assembly, and nucleated conformational conversion are present at various stages of fibril assembly.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19045373      PMCID: PMC2671665          DOI: 10.1063/1.2989981

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  42 in total

Review 1.  Amyloid fibrillogenesis: themes and variations.

Authors:  J C Rochet; P T Lansbury
Journal:  Curr Opin Struct Biol       Date:  2000-02       Impact factor: 6.809

2.  Exploring protein aggregation and self-propagation using lattice models: phase diagram and kinetics.

Authors:  R I Dima; D Thirumalai
Journal:  Protein Sci       Date:  2002-05       Impact factor: 6.725

3.  Protein chemistry. In the footsteps of alchemists.

Authors:  Christopher M Dobson
Journal:  Science       Date:  2004-05-28       Impact factor: 47.728

4.  Kinetic analysis of beta-amyloid fibril elongation.

Authors:  Michelle J Cannon; Angela D Williams; Ronald Wetzel; David G Myszka
Journal:  Anal Biochem       Date:  2004-05-01       Impact factor: 3.365

Review 5.  Structural models of amyloid-like fibrils.

Authors:  Rebecca Nelson; David Eisenberg
Journal:  Adv Protein Chem       Date:  2006

6.  Dissociation of Abeta(16-22) amyloid fibrils probed by molecular dynamics.

Authors:  Takako Takeda; Dmitri K Klimov
Journal:  J Mol Biol       Date:  2007-03-02       Impact factor: 5.469

7.  Self-assembly of beta-sheet forming peptides into chiral fibrillar aggregates.

Authors:  Giovanni Bellesia; Joan-Emma Shea
Journal:  J Chem Phys       Date:  2007-06-28       Impact factor: 3.488

Review 8.  Protein aggregation: folding aggregates, inclusion bodies and amyloid.

Authors:  A L Fink
Journal:  Fold Des       Date:  1998

9.  The structure of the Alzheimer amyloid beta 10-35 peptide probed through replica-exchange molecular dynamics simulations in explicit solvent.

Authors:  Andrij Baumketner; Joan-Emma Shea
Journal:  J Mol Biol       Date:  2006-11-10       Impact factor: 5.469

10.  Stabilities and conformations of Alzheimer's beta -amyloid peptide oligomers (Abeta 16-22, Abeta 16-35, and Abeta 10-35): Sequence effects.

Authors:  Buyong Ma; Ruth Nussinov
Journal:  Proc Natl Acad Sci U S A       Date:  2002-10-21       Impact factor: 11.205

View more
  29 in total

1.  Spontaneous formation of twisted Aβ(16-22) fibrils in large-scale molecular-dynamics simulations.

Authors:  Mookyung Cheon; Iksoo Chang; Carol K Hall
Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

2.  Competition between folding and aggregation in a model for protein solutions.

Authors:  M Maiti; M Rao; S Sastry
Journal:  Eur Phys J E Soft Matter       Date:  2010-06-22       Impact factor: 1.890

3.  Dynamics of locking of peptides onto growing amyloid fibrils.

Authors:  Govardhan Reddy; John E Straub; D Thirumalai
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-06       Impact factor: 11.205

4.  Relative stability of de novo four-helix bundle proteins: insights from coarse grained molecular simulations.

Authors:  Giovanni Bellesia; Andrew I Jewett; Joan-Emma Shea
Journal:  Protein Sci       Date:  2011-03-30       Impact factor: 6.725

5.  Accounting for protein-solvent contacts facilitates design of nonaggregating lattice proteins.

Authors:  Sanne Abeln; Daan Frenkel
Journal:  Biophys J       Date:  2011-02-02       Impact factor: 4.033

Review 6.  Amyloid β Protein and Alzheimer's Disease: When Computer Simulations Complement Experimental Studies.

Authors:  Jessica Nasica-Labouze; Phuong H Nguyen; Fabio Sterpone; Olivia Berthoumieu; Nicolae-Viorel Buchete; Sébastien Coté; Alfonso De Simone; Andrew J Doig; Peter Faller; Angel Garcia; Alessandro Laio; Mai Suan Li; Simone Melchionna; Normand Mousseau; Yuguang Mu; Anant Paravastu; Samuela Pasquali; David J Rosenman; Birgit Strodel; Bogdan Tarus; John H Viles; Tong Zhang; Chunyu Wang; Philippe Derreumaux
Journal:  Chem Rev       Date:  2015-03-19       Impact factor: 60.622

7.  Kinetics and mechanical stability of the fibril state control fibril formation time of polypeptide chains: A computational study.

Authors:  Maksim Kouza; Nguyen Truong Co; Mai Suan Li; Sebastian Kmiecik; Andrzej Kolinski; Andrzej Kloczkowski; Irina Alexandra Buhimschi
Journal:  J Chem Phys       Date:  2018-06-07       Impact factor: 3.488

8.  Influence of temperature on formation of perfect tau fragment fibrils using PRIME20/DMD simulations.

Authors:  Mookyung Cheon; Iksoo Chang; Carol K Hall
Journal:  Protein Sci       Date:  2012-09-17       Impact factor: 6.725

9.  Frozen in beta.

Authors:  Rohit V Pappu
Journal:  Biophys J       Date:  2014-08-19       Impact factor: 4.033

10.  A condensation-ordering mechanism in nanoparticle-catalyzed peptide aggregation.

Authors:  Stefan Auer; Antonio Trovato; Michele Vendruscolo
Journal:  PLoS Comput Biol       Date:  2009-08-14       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.