2018
DOI: 10.18388/abp.2018_2647
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Structural analysis of the Aβ(15-40) amyloid fibril based on hydrophobicity distribution

Abstract: The Aβ42 amyloid is the causative factor behind various neurodegenerative processes. It forms elongated fibrils which cause structural devastation in brain tissue. The structure of an amyloid seems to be a contradiction of protein folding principles. Our work focuses on the Aβ(15-40) amyloid containing the D23N mutation (also known as the “Iowa mutation”), upon which an in silico experiment is based. Models generated using I-Tasser software as well as the fuzzy oil drop model – regarded as alternatives to the … Show more

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Cited by 18 publications
(18 citation statements)
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“…We subjected it to analysis from the point of view of hydrophobicity distribution. The presented work follows upon the results presented in [12], where we single out fragments exhibiting specific deviations from the theoretical ("idealized") distribution of hydrophobicity expected in a globular protein and mathematically defined by a 3D Gaussian [13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…We subjected it to analysis from the point of view of hydrophobicity distribution. The presented work follows upon the results presented in [12], where we single out fragments exhibiting specific deviations from the theoretical ("idealized") distribution of hydrophobicity expected in a globular protein and mathematically defined by a 3D Gaussian [13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…In this way, a band micelle is obtained, which is generated by amyloid proteins. Amyloids represent a structural form with a hydrophobic core in the form of a tape running along the long axis of fibril surrounding it with better or worse matched bands with low hydrophobicity [48][49][50][51][52]. Thus, amyloids are a synergy that is different from the native form, leading to an alternative solution to the impact and presence of a polar aquatic environment.…”
Section: Discussionmentioning
confidence: 99%
“…The current analysis is to check the degree of universality of this approach including correctly folded proteins. The structure of the hydrophobic core-its degree of compliance with the idealized distribution-is determined using a model called the fuzzy oil drop model [47][48][49][50][51][52][53][54][55][56][57], in which the idealized distribution of hydrophobicity (T) is expressed using a 3D Gaussian distribution, which is spread over the body of the protein (values of the σ-x, α-y and α-z parameters are selected specifically for a given protein). On the other hand, the actual distribution of hydrophobicity (O) is assessed resulting from the distribution of so-called effective atoms (the average position of atoms included in a given amino acid) and intrinsic hydrophobicity, which is constant for a given amino acid.…”
Section: Model Of Amino Acid Conformation Analysis In the Chainmentioning
confidence: 99%
“…The fuzzy oil drop model treats amyloids as ribbonlike micelles (in contrast to spherical micelles, which represent globular proteins) (Kalinowska et al, 2017). The presence of short fragments, whose local distribution of hydrophobicity opposes the theoretical model, results from the systemic inability of the amyloid peptide to attain a spherical conformation (Dułak et al, 2018a;Dułak et al, 2018b). This locally suboptimal distribution is compensated by the isolation of discordant fragments in the structure of a ribbon-like micelle.…”
Section: Discussionmentioning
confidence: 99%
“…The set includes titin as a representative of a class of strongly accordant proteins (Banach et al, 2014a;Banach et al, 2014b), along with several amyloids whose structures can be found in PDB. The latter facilitate the analysis of the distribution of hydrophobic, electrostatic and vdW interactions in amyloids (note that the distribution of hydrophobicity in amyloids is extensively discussed in several other publications: (Dułak et al, 2018a;Dułak et al, 2018b)). Transthyretin was selected for this study due to its strong propensity for amyloid transformation (Lim et al, 2016).…”
Section: Methodsmentioning
confidence: 99%