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Specific interaction from different Aβ42 peptide fragments to α7nAChR-A study of molecular dynamics simulation.
- Source :
- Journal of Molecular Modeling; Jul2024, Vol. 30 Issue 7, p1-9, 9p
- Publication Year :
- 2024
-
Abstract
- Context: Existing researches confirmed that β amyloid (Aβ) has a high affinity for the α7 nicotinic acetylcholine receptor (α7nAChR), associating closely to Alzheimer's disease. The majority of related studies focused on the experimental reports on the neuroprotective role of Aβ fragment (Aβ<subscript>x</subscript>), however, with a lack of investigation into the most suitable binding region and mechanism of action between Aβ fragment and α7nAChR. In the study, we employed four Aβ<subscript>1–42</subscript> fragments Aβ<subscript>x</subscript>, Aβ<subscript>1–16</subscript>, Aβ<subscript>10–16</subscript>, Aβ<subscript>12–28</subscript>, and Aβ<subscript>30–42</subscript>, of which the first three were confirmed to play neuroprotective roles upon directly binding, to interact with α7nAChR. Methods: The protein–ligand docking server of CABS-DOCK was employed to obtain the α7nAChR-Aβ<subscript>x</subscript> complexes. Only the top α7nAChR-Aβ<subscript>x</subscript> complexes were used to perform all-atom GROMACS dynamics simulation in combination with Charmm36 force field, by which α7nAChR-Aβ<subscript>x</subscript> interactions' dynamic behavior and specific locations of these different Aβ<subscript>x</subscript> fragments were identified. MM-PBSA calculations were also done to estimate the binding free energies and the different contributions from the residues in the Aβ<subscript>x</subscript>. Two distinct results for the first three and fourth Aβ<subscript>x</subscript> fragments in binding site, strength, key residue, and orientation, account for why the fourth fails to play a neuroprotective role at the molecular level. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16102940
- Volume :
- 30
- Issue :
- 7
- Database :
- Complementary Index
- Journal :
- Journal of Molecular Modeling
- Publication Type :
- Academic Journal
- Accession number :
- 178528657
- Full Text :
- https://doi.org/10.1007/s00894-024-06032-w