2015
DOI: 10.1039/c5ra20182a
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Contrasting effects of nanoparticle–protein attraction on amyloid aggregation

Abstract: Nanoparticles (NPs) have been experimentally found to either promote or inhibit amyloid aggregation of proteins, but the molecular mechanisms for such complex behaviors remain unknown. Using coarse-grained molecular dynamics simulations, we investigated the effects of varying the strength of nonspecific NP-protein attraction on amyloid aggregation of a model protein, the amyloid-beta peptide implicated in Alzheimer's disease. Specifically, with increasing NP-peptide attraction, amyloid aggregation on the NP su… Show more

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Cited by 56 publications
(52 citation statements)
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References 78 publications
(108 reference statements)
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“…As a result, the generally nonspecific attraction between IAPP and PHEA led to the accumulation of peptides on PHEA arms, and the increased local peptide concentration accelerated the aggregation of IAPP consistently with a previous coarse-grained computational study. 55 We also examined the secondary structure of IAPPs and their binding with PHEA along the simulation trajectories (e.g., one of the independent simulations shown in Figure S6), where a general trend of correlation between IAPP-PHEA binding and β-sheet formation in IAPP aggregates was evident. Comparison-average secondary structure contents of the last 25 ns between simulations with and without PHEA (Figure S5C and D) suggest that the PHEA binding did not significantly affect the structures of the aggregates other than accelerated IAPP self-association (Figure S4A).…”
Section: Results and Discussionmentioning
confidence: 99%
“…As a result, the generally nonspecific attraction between IAPP and PHEA led to the accumulation of peptides on PHEA arms, and the increased local peptide concentration accelerated the aggregation of IAPP consistently with a previous coarse-grained computational study. 55 We also examined the secondary structure of IAPPs and their binding with PHEA along the simulation trajectories (e.g., one of the independent simulations shown in Figure S6), where a general trend of correlation between IAPP-PHEA binding and β-sheet formation in IAPP aggregates was evident. Comparison-average secondary structure contents of the last 25 ns between simulations with and without PHEA (Figure S5C and D) suggest that the PHEA binding did not significantly affect the structures of the aggregates other than accelerated IAPP self-association (Figure S4A).…”
Section: Results and Discussionmentioning
confidence: 99%
“…DMD is a unique type of molecular dynamics algorithm with significantly enhanced sampling efficiency, which has been widely used by our group and other in studying protein folding 22 , aggregation 63 , small molecule/nanoparticle peptides interactions 10,64 . In DMD simulations, the inter-atomic interactions have similar components as conventional molecular mechanics force fields, but the potential functions are modeled by discrete step-wise functions mimicking the continuous potential functions.…”
Section: Methodsmentioning
confidence: 99%
“…222 DMD simulations have also been recently applied to study the effect of NPs on protein amyloid aggregation. 126, 221, 227 …”
Section: Focusing On Biocorona – a Perspective From Atomistic Simulatmentioning
confidence: 99%