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Characterizing amyloid-beta protein misfolding from molecular dynamics simulations with explicit water
- Source :
- Journal of computational chemistry. 32(2)
- Publication Year :
- 2009
-
Abstract
- Extracellular deposition of amyloid-beta (Aβ) protein, a fragment of membrane glycoprotein called β-amyloid precursor transmembrane protein (βAPP), is the major characteristic for the Alzheimer's disease (AD). However, the structural and mechanistic information of forming Aβ protein aggregates in a lag phase in cell exterior has been still limited. Here, we have performed multiple all-atom molecular dynamics simulations for physiological 42-residue amyloid-beta protein (Aβ42) in explicit water to characterize most plausible aggregation-prone structure (APS) for the monomer and the very early conformational transitions for Aβ42 protein misfolding process in a lag phase. Monitoring the early sequential conformational transitions of Aβ42 misfolding in water, the APS for Aβ42 monomer is characterized by the observed correlation between the nonlocal backbone H-bond formation and the hydrophobic side-chain exposure. Characteristics on the nature of the APS of Aβ42 allow us to provide new insight into the higher aggregation propensity of Aβ42 over Aβ40, which is in agreement with the experiments. On the basis of the structural features of APS, we propose a plausible aggregation mechanism from APS of Aβ42 to form fibril. The structural and mechanistic observations based on these simulations agree with the recent NMR experiments and provide the driving force and structural origin for the Aβ42 aggregation process to cause AD.
- Subjects :
- Protein Folding
Amyloid beta-Peptides
biology
Amyloid beta
Protein Conformation
Water
General Chemistry
Protein aggregation
Molecular Dynamics Simulation
Fibril
Transmembrane protein
Peptide Fragments
Computational Mathematics
Molecular dynamics
chemistry.chemical_compound
Crystallography
Protein structure
Monomer
chemistry
Alzheimer Disease
biology.protein
Biophysics
Humans
Protein folding
Subjects
Details
- ISSN :
- 1096987X
- Volume :
- 32
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of computational chemistry
- Accession number :
- edsair.doi.dedup.....8253c516a4d47f8339c742d3523c97d7