2018
DOI: 10.1007/s12274-017-1734-9
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Multivalent interacting glycodendrimer to prevent amyloid-peptide fibril formation induced by Cu(II): A multidisciplinary approach

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Cited by 26 publications
(21 citation statements)
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“…Noteworthy, this relationship can hardly be inferred only by biological in vitro and in vivo experiments due to the high number of variables and complexity of the investigated biological system. In this context, a coupled approach based on experimental and computational modelling may provide fruitful information on molecular mechanisms driving interactions of ligand-target systems [40][41][42] , such as a polymer-siRNA complexes 15,33,34,[41][42][43] .…”
Section: Introductionmentioning
confidence: 99%
“…Noteworthy, this relationship can hardly be inferred only by biological in vitro and in vivo experiments due to the high number of variables and complexity of the investigated biological system. In this context, a coupled approach based on experimental and computational modelling may provide fruitful information on molecular mechanisms driving interactions of ligand-target systems [40][41][42] , such as a polymer-siRNA complexes 15,33,34,[41][42][43] .…”
Section: Introductionmentioning
confidence: 99%
“…The previously highlighted conformational instability of residues V24 and G37 in the U-shaped model can be explained by analysing the secondary structure probability of the two simulated systems ( Figure 1 c). For each model the secondary structure has been calculated as a probability along all chains and all considered frames, as done in previous works [ 27 ]. The secondary structure probability along the REMD ensemble at 300 K ( Figure 1 c, lower row) was compared with the same probability in the PDB model ( Figure 1 c, upper row) for both U-shaped ( Figure 1 c, left) and S-shaped ( Figure 1 c, right) architectures.…”
Section: Resultsmentioning
confidence: 99%
“…Computational approaches such as Replica Exchange Molecular Dynamics (REMD) can be used as a powerful tool to elucidate the molecular mechanisms responsible for protein hierarchical organization. In fact, computer simulations have been widely demonstrated to be helpful in capturing mechanisms of protein folding [ 24 , 25 , 26 ] and protein-protein aggregation [ 27 , 28 ]. Recent computational works investigated the stability of the U-Shaped fibril models of Aβ 1–42 and Aβ 1–40 species [ 29 , 30 ].…”
Section: Introductionmentioning
confidence: 99%
“…[15] In this sense, dendrimerso rd endritic systems, due to their unique properties, such as their monodisperse structure and high multifunctionalizationc apacity,h ave provedt ob ei deal systems. [16] There are several dendritic systemso fd ifferentt opologies,s uch as polyamidoamine (PAMAM), [17] glycodendrimer, [18] phosphorus, [19] and carbosilane, [20] that are being studied in the treatment of diseases associated with protein accumulationa nd have been shown to be effective in preventing the bad folding of proteins.F or example, low-generation anionic dendrimers or OH-terminatedP AMAM dendrimers have the capacity to modulate the self-assembly of IAPP,a ccelerating or preventing its accumulation. [21] In addition, cationic poly(propyleneimine) dendrimers functionalized with maltose reduce amyloid cytotoxicity in PC12 and SH-SY5Yc ells.…”
Section: Introductionmentioning
confidence: 99%