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Binding of Inhibitors to BACE1 Affected by pH-Dependent Protonation: An Exploration from Multiple Replica Gaussian Accelerated Molecular Dynamics and MM-GBSA Calculations

  • Jianzhong Chen*
    Jianzhong Chen
    School of Science, Shandong Jiaotong University, Jinan 250357, China
    *Email: [email protected], [email protected]
    More by Jianzhong Chen
  • Shaolong Zhang
    Shaolong Zhang
    School of Physics and Electronics, Shandong Normal University, Jinan 250358, China
    More by Shaolong Zhang
  • Wei Wang
    Wei Wang
    School of Science, Shandong Jiaotong University, Jinan 250357, China
    More by Wei Wang
  • Haibo Sun
    Haibo Sun
    School of Science, Shandong Jiaotong University, Jinan 250357, China
    More by Haibo Sun
  • Qinggang Zhang
    Qinggang Zhang
    School of Physics and Electronics, Shandong Normal University, Jinan 250358, China
    More by Qinggang Zhang
  • , and 
  • Xinguo Liu*
    Xinguo Liu
    School of Physics and Electronics, Shandong Normal University, Jinan 250358, China
    *Email: [email protected]
    More by Xinguo Liu
Cite this: ACS Chem. Neurosci. 2021, 12, 14, 2591–2607
Publication Date (Web):June 29, 2021
https://doi.org/10.1021/acschemneuro.0c00813
Copyright © 2021 American Chemical Society

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    Abstract

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    To date, inhibiting the activity of β-amyloid cleaving enzyme 1 (BACE1) has been considered an efficient approach for treating Alzheimer’s disease (AD). In the current work, multiple replica Gaussian accelerated molecular dynamics (MR-GaMD) simulations and the molecular mechanics general Born surface area (MM-GBSA) method were combined to investigate the effect of pH-dependent protonation on the binding of the inhibitors CS9, C6U, and 6WE to BACE1. Dynamic analyses based on the MR-GaMD trajectory show that pH-dependent protonation strongly affects the structural flexibility, correlated motions, and dynamic behavior of inhibitor-bound BACE1. According to the constructed free energy profiles, in the protonated state at low pH, inhibitor-bound BACE1 tends to populate at more conformations than in high pH. The binding free energies calculated by MM-GBSA suggest that inhibitors possess stronger binding abilities under the protonation conditions at high pH than under the protonation conditions at low pH. Moreover, pH-dependent protonation exerts a significant effect on the hydrogen bonding interactions of CS9, C6U, and 6WE to BACE1, which correspondingly alters the binding abilities of the three inhibitors to BACE1. Furthermore, in different protonated environments, three inhibitors share common interaction clusters and similar binding sites in BACE1, which are reliably used as efficient targets for the design of potent inhibitors of BACE1.

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    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acschemneuro.0c00813.

    • Structural superimpositions of the CS9-bound BACE1 and CS9 situated in different free energy valleys, structural superimpositions of the C6U-bound BACE1 and C6U located in different free energy valleys, structural superimpositions of the 6WE-bound BACE1 and 6WE located in different free energy valleys, free energy landscapes of the apo BACE1 at three different pH-dependent protonation states, function of eigenvalues VS eigenvectors, collective motions of domains from the CS9-bound BACE1 in different protonated states, concerted movements of domains from the C6U-bound BACE1 in different protonated situations, collective motions of domains from the 6WE-bound BACE1 in different protonated environments, and interactions of key residues with inhibitors in the protonated environments of pH = 3, 5, and 7 (PDF)

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