Literature DB >> 29884031

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

Maksim Kouza1, Nguyen Truong Co2, Mai Suan Li2, Sebastian Kmiecik1, Andrzej Kolinski1, Andrzej Kloczkowski3, Irina Alexandra Buhimschi4.   

Abstract

Fibril formation resulting from protein misfolding and aggregation is a hallmark of several neurodegenerative diseases such as Alzheimer's and Parkinson's diseases. Despite much progress in the understanding of the protein aggregation process, the factors governing fibril formation rates and fibril stability have not been fully understood. Using lattice models, we have shown that the fibril formation time is controlled by the kinetic stability of the fibril state but not by its energy. Having performed all-atom explicit solvent molecular dynamics simulations with the GROMOS43a1 force field for full-length amyloid beta peptides Aβ40 and Aβ42 and truncated peptides, we demonstrated that kinetic stability can be accessed via mechanical stability in such a way that the higher the mechanical stability or the kinetic stability, the faster the fibril formation. This result opens up a new way for predicting fibril formation rates based on mechanical stability that may be easily estimated by steered molecular dynamics.

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Year:  2018        PMID: 29884031      PMCID: PMC5991969          DOI: 10.1063/1.5028575

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


  40 in total

Review 1.  Alzheimer's disease: the amyloid cascade hypothesis.

Authors:  J A Hardy; G A Higgins
Journal:  Science       Date:  1992-04-10       Impact factor: 47.728

2.  Comparison of multiple Amber force fields and development of improved protein backbone parameters.

Authors:  Viktor Hornak; Robert Abel; Asim Okur; Bentley Strockbine; Adrian Roitberg; Carlos Simmerling
Journal:  Proteins       Date:  2006-11-15

3.  Preformed template fluctuations promote fibril formation: insights from lattice and all-atom models.

Authors:  Maksim Kouza; Nguyen Truong Co; Phuong H Nguyen; Andrzej Kolinski; Mai Suan Li
Journal:  J Chem Phys       Date:  2015-04-14       Impact factor: 3.488

4.  Modeling of protein-peptide interactions using the CABS-dock web server for binding site search and flexible docking.

Authors:  Maciej Blaszczyk; Mateusz Kurcinski; Maksim Kouza; Lukasz Wieteska; Aleksander Debinski; Andrzej Kolinski; Sebastian Kmiecik
Journal:  Methods       Date:  2015-07-10       Impact factor: 3.608

5.  New method for determining size of critical nucleus of fibril formation of polypeptide chains.

Authors:  Nguyen Truong Co; Mai Suan Li
Journal:  J Chem Phys       Date:  2012-09-07       Impact factor: 3.488

6.  How does a protein fold?

Authors:  A Sali; E Shakhnovich; M Karplus
Journal:  Nature       Date:  1994-05-19       Impact factor: 49.962

7.  Amyloid fibril formation by A beta 16-22, a seven-residue fragment of the Alzheimer's beta-amyloid peptide, and structural characterization by solid state NMR.

Authors:  J J Balbach; Y Ishii; O N Antzutkin; R D Leapman; N W Rizzo; F Dyda; J Reed; R Tycko
Journal:  Biochemistry       Date:  2000-11-14       Impact factor: 3.162

8.  Design and characterization of a membrane permeable N-methyl amino acid-containing peptide that inhibits Abeta1-40 fibrillogenesis.

Authors:  D J Gordon; R Tappe; S C Meredith
Journal:  J Pept Res       Date:  2002-07

9.  Fibril structure of amyloid-β(1-42) by cryo-electron microscopy.

Authors:  Lothar Gremer; Daniel Schölzel; Carla Schenk; Elke Reinartz; Jörg Labahn; Raimond B G Ravelli; Markus Tusche; Carmen Lopez-Iglesias; Wolfgang Hoyer; Henrike Heise; Dieter Willbold; Gunnar F Schröder
Journal:  Science       Date:  2017-09-07       Impact factor: 47.728

10.  Molecular structure of β-amyloid fibrils in Alzheimer's disease brain tissue.

Authors:  Jun-Xia Lu; Wei Qiang; Wai-Ming Yau; Charles D Schwieters; Stephen C Meredith; Robert Tycko
Journal:  Cell       Date:  2013-09-12       Impact factor: 41.582

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  6 in total

1.  d-Retro Inverso Amylin and the Stability of Amylin Fibrils.

Authors:  Preeti Pandey; Natalie Nguyen; Ulrich H E Hansmann
Journal:  J Chem Theory Comput       Date:  2020-07-28       Impact factor: 6.006

2.  Assessing the Stability of Biological Fibrils by Molecular-Scale Simulations.

Authors:  Rodrigo A Moreira; Joseph L Baker; Horacio V Guzman; Adolfo B Poma
Journal:  Methods Mol Biol       Date:  2022

3.  Computational Models for the Study of Protein Aggregation.

Authors:  Nguyen Truong Co; Mai Suan Li; Pawel Krupa
Journal:  Methods Mol Biol       Date:  2022

4.  Epitope alteration by small molecules and applications in drug discovery.

Authors:  Biyue Zhu; Jing Yang; Richard Van; Fan Yang; Yue Yu; Astra Yu; Kathleen Ran; Keyi Yin; Yingxia Liang; Xunuo Shen; Wei Yin; Se Hoon Choi; Ying Lu; Changning Wang; Yihan Shao; Liang Shi; Rudolph E Tanzi; Can Zhang; Yan Cheng; Zhirong Zhang; Chongzhao Ran
Journal:  Chem Sci       Date:  2022-06-28       Impact factor: 9.969

5.  Role of Resultant Dipole Moment in Mechanical Dissociation of Biological Complexes.

Authors:  Maksim Kouza; Anirban Banerji; Andrzej Kolinski; Irina Buhimschi; Andrzej Kloczkowski
Journal:  Molecules       Date:  2018-08-10       Impact factor: 4.411

6.  Nanomechanical Stability of Aβ Tetramers and Fibril-like Structures: Molecular Dynamics Simulations.

Authors:  Adolfo B Poma; Tran Thi Minh Thu; Lam Tang Minh Tri; Hoang Linh Nguyen; Mai Suan Li
Journal:  J Phys Chem B       Date:  2021-07-12       Impact factor: 2.991

  6 in total

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