2017
DOI: 10.1039/c7cp05695h
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Distinct oligomerization and fibrillization dynamics of amyloid core sequences of amyloid-beta and islet amyloid polypeptide

Abstract: A direct observation of amyloid aggregation from isolated peptides to cross-β fibrils is crucial for understanding the nucleation-dependence process, but the corresponding macroscopic timescales impose a major computational challenge. Using rapid all-atom discrete molecular dynamics simulations, we capture the oligomerization and fibrillization dynamics of the amyloid core sequences of amyloid-β (Aβ) in Alzheimer’s disease and islet amyloid polypeptide (IAPP) in type-2 diabetes, namely Aβ16–22 and IAPP22–28. B… Show more

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Cited by 45 publications
(52 citation statements)
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“…To characterize oligomerization dynamics, we defined an oligomer as an aggregate of peptides interconnected by at least one intermolecular heavy atoms contact with a cutoff distance of 0.55 nm, and the size as the number of peptides in the complex . Using the last 200 ns trajectories of all independent simulations for a system, we computed the mass‐weighted size distribution of oligomers (Figure d), which corresponded to the probability of finding a peptide in an oligomer of a given size.…”
Section: Resultsmentioning
confidence: 99%
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“…To characterize oligomerization dynamics, we defined an oligomer as an aggregate of peptides interconnected by at least one intermolecular heavy atoms contact with a cutoff distance of 0.55 nm, and the size as the number of peptides in the complex . Using the last 200 ns trajectories of all independent simulations for a system, we computed the mass‐weighted size distribution of oligomers (Figure d), which corresponded to the probability of finding a peptide in an oligomer of a given size.…”
Section: Resultsmentioning
confidence: 99%
“…Details of DMD Simulations : All simulations were performed at 300 K by using the DMD algorithm, where the continuous potential functions in classic MD were modeled by discrete step‐wise functions. With significantly enhanced sampling efficiency, DMD simulation were widely used by in studying protein folding, amyloid aggregation, and nanoparticle peptides interactions . The Medusa forcefield adopted in DMD was similar to that used in MD simulation and were fully discussed in the previous studies .…”
Section: Methodsmentioning
confidence: 99%
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