CORRECTION article

Front. Mol. Biosci., 20 June 2022

Sec. Biological Modeling and Simulation

Volume 9 - 2022 | https://doi.org/10.3389/fmolb.2022.944884

Corrigendum: Fibril Surface-Dependent Amyloid Precursors Revealed by Coarse-Grained Molecular Dynamics Simulation

  • Department of Chemistry, Tamkang University, New Taipei City, Taiwan

In the original article, there was a mistake in Figure 2 and Table 1 as published (Supplementary Figures S1, S2, and S4–S6 in the Supplementary Material are also affected). The mistake was made by using the wrong residue index (it should have been N27, but S26 was erroneously used instead) in the WHAM analysis for generating a free energy profile. The corrected Figure 2 and Table 1 are shown below. The updated supplementary figures are available in the Supplementary Material.

FIGURE 2

TABLE 1

∆Gb (kcal/mol)TopLengthSolubility (µM)ConditionType
−8.7Twofold1–400.44<10 µM (27°C)Exp. Xu et al. (2019)
−8.7Twofold1–400.3–0.4<75 µM (24°C)Exp. Qiang et al. (2013)
−91–400.8–1.0<30 µM (37°C)Exp. O’Nuallain et al. (2005)
−12 (even)Twofold17–4237°CSim. Han and Schultan, (2014)
−11.3 (odd)
−15.6Twofold9–4037°CSim. Schwiers et al. (2017)
−25.8Single11–4227°CThis Work

Thermodynamic binding affinity of Abeta binding to a fibril.

In the original article, there was an error. A wrong distance value was used, and several wrong free energy values were used.

A correction has been made to 3 Results and Discussion, 3.2 A Monomer Binding to Fibrillar Surfaces can be Characterized … , paragraphs 1 and 2. The corrected paragraph excerpts appear below:

“We explore the free energy landscape along a distance separation between a free Abeta monomer and a fibril surface. To enhance sampling over different spatial orientations, we carry out several independent simulations with different initial positions of the monomer with respect to the central fibril. A total of six different positions were chosen to address the fluctuations of orientation. The six simulations, having the monomer being put in different orientations: front, back, up, down, even, and odd, respectively, were performed (see the subplot in Figure 2A for a schematic description). Figure 2A presents a representative free energy profile with the monomer being positioned in the “front” position. From the free energy profile, several features can be observed. They are classified into three different stages accordingly: I. Free diffusion. II. Downhill guiding. III. Dock and lock. When the Abeta monomer is far from the central fibril (r > 80 Å), the dynamics of the free monomer is primarily diffusive and that the free energy profile is nearly flat in the plateau (Stage I). As the distance between the fibril and the monomer decreases, the monomer is subject to a long-range guiding force due to electrostatics, and therefore, the monomer begins to approach the fibril. This long-range guidance yields an energetically downhill profile (Stage II). The downhill free energy continues until its slope significantly changes at r ≈ 30 Å where the free energy profile displays a curvature. After that, the monomer begins to have physical contacts with the fibril (Stage III). In stage III, there are many ways for the monomer to dock the fibril. The biasing strategy used allows spatially orientational flexibility for the monomer to dock the fibril. As a result, the monomer is able to dock the fibrillar surface through different sites. All the resulting binding configurations lead to a clear free energy basin at r ≈ 30 Å. … .”

“Next, we look into the thermodynamic binding affinity, defined by the potential of mean force (PMF). In determining the free energy of binding, multiple free energy calculations have shown variation in rb (rb refers to the distance at which the global free energy basin is found), suggesting that the Abeta monomer binds to the fibril surface through a pathway-dependent manner. This pathway dependence very likely causes some variations in the binding free energy profiles since the monomer might interact with the fibril surfaces through different “dock” sites. Here, we do not assume any specific binding site a priori for the monomer to bind with. Instead, we aim to sample different binding trajectories and then combine these trajectories to determine the standard binding affinity (with c0 1 M, see Section 2.2.1). The value is computed to be −25.8 ± 2.4 kcal/mol if we use the data of all the six orientations to ensure the orientational fluctuations. The binding affinity, determined by the simulation trajectory of individual single orientation, ranges from −23 to −29 kcal/mol. …”

The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Statements

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmolb.2022.944884/full#supplementary-material

Summary

Keywords

abeta, MD simulation, coarse-grained model, fibril surface, secondary nucleation, fibrillar twisting, binding sites, elongation (growth)

Citation

Ma Y-W, Lin T-Y and Tsai M-Y (2022) Corrigendum: Fibril Surface-Dependent Amyloid Precursors Revealed by Coarse-Grained Molecular Dynamics Simulation. Front. Mol. Biosci. 9:944884. doi: 10.3389/fmolb.2022.944884

Received

16 May 2022

Accepted

26 May 2022

Published

20 June 2022

Volume

9 - 2022

Edited and reviewed by

Davide Mercadante, University of Auckland, New Zealand

Updates

Copyright

*Correspondence: Min-Yeh Tsai,

This article was submitted to Biological Modeling and Simulation, a section of the journal Frontiers in Molecular Biosciences

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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