Literature DB >> 22300010

Structures of the amyloid β-peptides Aβ1-40 and Aβ1-42 as influenced by pH and a D-peptide.

Olujide O Olubiyi1, Birgit Strodel.   

Abstract

In this simulation study, we present a comparison of the secondary structure of the two major alloforms of the Alzheimer's peptide (Aβ(1-40) and Aβ(1-42)) on the basis of molecular dynamics (MD) simulations on thea microsecond time scale using the two GROMOS96 force fields ffG43a2 and ffG53a6. We observe peptide and force-field related differences in the sampled conformations of Aβ(1-40) and Aβ(1-42), which we characterize in terms of NMR chemical shifts calculated from the MD trajectories and validate against the corresponding experimental NMR results. From this analysis, we can conclude that ffG53a6 is better able to model the structural propensities of Aβ(1-40) and Aβ(1-42) than ffG43a2. Furthermore, we provide a description of the influences of pH and binding of D3, a 12-residue D-enantiomeric peptide with demonstrated antiamyloid effects, on the structure of Aβ(1-42). We demonstrate that, under slightly acidic conditions, protonation of the three histidine residues in Aβ(1-42) promotes the formation of β-sheets via a reduction in electrostatic repulsion between the two terminal regions. Our studies further reveal that the binding between D3 and Aβ(1-42) is driven by electrostatic interactions between negatively charged Aβ(1-42) residues and the five positively charged arginine residues of D3. The binding of D3 was found to induce large conformational changes in the amyloid peptide, with a reduction in β-sheet units being the most significant effect recorded, possibly explaining the observed amyloid-inhibiting properties of the D-peptide.
© 2012 American Chemical Society

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22300010     DOI: 10.1021/jp2076337

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  24 in total

1.  Differences in β-strand populations of monomeric Aβ40 and Aβ42.

Authors:  K Aurelia Ball; Aaron H Phillips; David E Wemmer; Teresa Head-Gordon
Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

2.  How accurate are your simulations? Effects of confined aqueous volume and AMBER FF99SB and CHARMM22/CMAP force field parameters on structural ensembles of intrinsically disordered proteins: Amyloid-β42 in water.

Authors:  Orkid Coskuner Weber; Vladimir N Uversky
Journal:  Intrinsically Disord Proteins       Date:  2017-10-30

3.  The Na+/H+ exchanger NHE6 modulates endosomal pH to control processing of amyloid precursor protein in a cell culture model of Alzheimer disease.

Authors:  Hari Prasad; Rajini Rao
Journal:  J Biol Chem       Date:  2015-01-05       Impact factor: 5.157

4.  Nanoprobing of the effect of Cu(2+) cations on misfolding, interaction and aggregation of amyloid β peptide.

Authors:  Zhengjian Lv; Margaret M Condron; David B Teplow; Yuri L Lyubchenko
Journal:  J Neuroimmune Pharmacol       Date:  2012-11-11       Impact factor: 4.147

5.  Molecular Dynamics Simulations of Amyloid β-Peptide (1-42): Tetramer Formation and Membrane Interactions.

Authors:  Anne M Brown; David R Bevan
Journal:  Biophys J       Date:  2016-09-06       Impact factor: 4.033

Review 6.  Implications of peptide assemblies in amyloid diseases.

Authors:  Pu Chun Ke; Marc-Antonie Sani; Feng Ding; Aleksandr Kakinen; Ibrahim Javed; Frances Separovic; Thomas P Davis; Raffaele Mezzenga
Journal:  Chem Soc Rev       Date:  2017-10-30       Impact factor: 54.564

7.  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

8.  Tautomeric Effect of Histidine on β-Sheet Formation of Amyloid Beta 1-40: 2D-IR Simulations.

Authors:  Yeonsig Nam; Mahroof Kalathingal; Shinji Saito; Jin Yong Lee
Journal:  Biophys J       Date:  2020-07-18       Impact factor: 4.033

Review 9.  The role of molecular simulations in the development of inhibitors of amyloid β-peptide aggregation for the treatment of Alzheimer's disease.

Authors:  Justin A Lemkul; David R Bevan
Journal:  ACS Chem Neurosci       Date:  2012-08-27       Impact factor: 4.418

10.  Thermodynamics and kinetics of the amyloid-β peptide revealed by Markov state models based on MD data in agreement with experiment.

Authors:  Arghadwip Paul; Suman Samantray; Marco Anteghini; Mohammed Khaled; Birgit Strodel
Journal:  Chem Sci       Date:  2021-04-15       Impact factor: 9.825

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.