Literature DB >> 34491058

Effects of All-Atom Molecular Mechanics Force Fields on Amyloid Peptide Assembly: The Case of PHF6 Peptide of Tau Protein.

Viet Hoang Man1, Xibing He1, Jie Gao2, Junmei Wang1.   

Abstract

Molecular dynamics (MD) simulations play a vital role in revealing the mechanism of amyloid aggregation that is crucial to the therapeutic agent development for Alzheimer's Disease. However, the accuracy of MD simulation results strongly depends on the force field employed. In our previous benchmark for 17 all-atom force fields on modeling of amyloid aggregation using the Aβ16-22 dimer, we showed that AMBER14SB and CHARMM36m are suitable force fields for amyloid aggregation simulation, while GROMOS54a7 and OPLSAA are not good for the task. In this work, we continue assessing the applicability of atomistic force fields on amyloid aggregation using the VQIVYK (PHF6) peptide which is essential for tau-protein aggregation. Although, both Aβ16-22 and PHF6 peptides formed fibrils in vitro, the PHF6 fibrils are parallel β-sheets, while the Aβ16-22 fibrils are antiparallel β-sheets. We performed an all-atom large-scale MD simulation in explicit water on the PHF6 dimer and octa-peptides systems using five mainstream force fields, including AMBER99SB-disp, AMBER14SB, CHARMM36m, GROMOS54a7, and OPLSAA. The accumulated simulation time is 0.2 ms. Our result showed that the β-sheet structures of PHF6 peptides sampled by AMBER99SB-disp, AMBER14SB, GROMOS54a7, and OPLSAA are in favor of the antiparallel β-sheets, while the dominant type of β-sheet structures is parallel β-sheet by using CHARMM36m. Among the five force fields, CHARMM36m provides the strongest CH-π interaction that was observed in an NMR study. The comparison between our results and experimental observation indicates that CHARMM36m achieved the best performance on modeling the aggregation of PHF6 peptides. In summary, CHARMM36m is currently the most suitable force field for studying the aggregation of both amyloid-β and Tau through MD simulations.

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Year:  2021        PMID: 34491058      PMCID: PMC8966059          DOI: 10.1021/acs.jctc.1c00028

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  55 in total

1.  GROMACS 4:  Algorithms for Highly Efficient, Load-Balanced, and Scalable Molecular Simulation.

Authors:  Berk Hess; Carsten Kutzner; David van der Spoel; Erik Lindahl
Journal:  J Chem Theory Comput       Date:  2008-03       Impact factor: 6.006

2.  Definition and testing of the GROMOS force-field versions 54A7 and 54B7.

Authors:  Nathan Schmid; Andreas P Eichenberger; Alexandra Choutko; Sereina Riniker; Moritz Winger; Alan E Mark; Wilfred F van Gunsteren
Journal:  Eur Biophys J       Date:  2011-04-30       Impact factor: 1.733

Review 3.  Computational and theoretical advances in studies of intrinsically disordered proteins.

Authors:  Robert B Best
Journal:  Curr Opin Struct Biol       Date:  2017-03-01       Impact factor: 6.809

4.  Terminal Capping of an Amyloidogenic Tau Fragment Modulates Its Fibrillation Propensity.

Authors:  Shruti Arya; Pritam Ganguly; Andrea Arsiccio; Sarah L Claud; Benjamin Trapp; Grace E Schonfeld; Xikun Liu; Kristi Lazar Cantrell; Joan-Emma Shea; Michael T Bowers
Journal:  J Phys Chem B       Date:  2020-09-09       Impact factor: 2.991

Review 5.  Protein Misfolding, Amyloid Formation, and Human Disease: A Summary of Progress Over the Last Decade.

Authors:  Fabrizio Chiti; Christopher M Dobson
Journal:  Annu Rev Biochem       Date:  2017-05-12       Impact factor: 23.643

6.  Folding Atomistic Proteins in Explicit Solvent Using Simulated Tempering.

Authors:  Tong Zhang; Phuong H Nguyen; Jessica Nasica-Labouze; Yuguang Mu; Philippe Derreumaux
Journal:  J Phys Chem B       Date:  2015-05-29       Impact factor: 2.991

Review 7.  Tau pathology and neurodegeneration.

Authors:  Maria Grazia Spillantini; Michel Goedert
Journal:  Lancet Neurol       Date:  2013-06       Impact factor: 44.182

8.  The conformational ensembles of α-synuclein and tau: combining single-molecule FRET and simulations.

Authors:  Abhinav Nath; Maria Sammalkorpi; David C DeWitt; Adam J Trexler; Shana Elbaum-Garfinkle; Corey S O'Hern; Elizabeth Rhoades
Journal:  Biophys J       Date:  2012-11-07       Impact factor: 4.033

9.  A theoretical study of polymorphism in VQIVYK fibrils.

Authors:  Jaehoon Yang; Mithila V Agnihotri; Carol J Huseby; Jeff Kuret; Sherwin J Singer
Journal:  Biophys J       Date:  2021-02-09       Impact factor: 4.033

10.  Formation and growth of oligomers: a Monte Carlo study of an amyloid tau fragment.

Authors:  Da-Wei Li; Sandipan Mohanty; Anders Irbäck; Shuanghong Huo
Journal:  PLoS Comput Biol       Date:  2008-12-05       Impact factor: 4.475

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  2 in total

Review 1.  Protein assembly and crowding simulations.

Authors:  Lim Heo; Yuji Sugita; Michael Feig
Journal:  Curr Opin Struct Biol       Date:  2022-02-23       Impact factor: 6.809

Review 2.  Molecular Dynamics Simulation Studies on the Aggregation of Amyloid-β Peptides and Their Disaggregation by Ultrasonic Wave and Infrared Laser Irradiation.

Authors:  Hisashi Okumura; Satoru G Itoh
Journal:  Molecules       Date:  2022-04-12       Impact factor: 4.927

  2 in total

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