2011
DOI: 10.4161/pri.5.3.16097
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Comparative analysis of essential collective dynamics and NMR-derived flexibility profiles in evolutionarily diverse prion proteins

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Cited by 21 publications
(46 citation statements)
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“…The theory shows that such an image represents the degree of dynamic correlation (coupling) between the protein's atoms: points (images of atoms) that are located close to each other correspond to atoms whose motions are strongly correlated regardless of their proximity in secondary or tertiary structure of the protein, and more distant points correspond to a relatively independent motion [31], [33]. A suite of simple structural descriptors, such as the main chain flexibility and domains of correlated motion, have been derived within the ECD framework and successfully employed to analyze dynamics of proteins [32], [35], [47], [34]. It has been both proven theoretically [33] and confirmed by comparing numerical predictions with NMR experiments representing microsecond time regimes [31], [34].…”
Section: Methodsmentioning
confidence: 99%
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“…The theory shows that such an image represents the degree of dynamic correlation (coupling) between the protein's atoms: points (images of atoms) that are located close to each other correspond to atoms whose motions are strongly correlated regardless of their proximity in secondary or tertiary structure of the protein, and more distant points correspond to a relatively independent motion [31], [33]. A suite of simple structural descriptors, such as the main chain flexibility and domains of correlated motion, have been derived within the ECD framework and successfully employed to analyze dynamics of proteins [32], [35], [47], [34]. It has been both proven theoretically [33] and confirmed by comparing numerical predictions with NMR experiments representing microsecond time regimes [31], [34].…”
Section: Methodsmentioning
confidence: 99%
“…Such domains can be identified through a simple nearest-neighbor clustering of the protein's image in the space of essential collective coordinates, as described in detail elsewhere [31], [32], [35], [34]. When employing the nearest-neighbor clustering technique to identify the dynamic domains, an interdomain distance must be selected which represents the minimum degree of correlation for two atoms to belong to the same domain.…”
Section: Methodsmentioning
confidence: 99%
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“…In this work, MD and FMD simulations were combined to study the thermostability and the dynamics of the bank vole prion protein (bvPrPc) and the turtle prion protein (tPrPc). TSE has not been observed in turtle, and turtle prion protein is concluded as one of the prion proteins of TSE resistant species [19,20]. The bank vole (Clethrionomys glareolus) has recently attracted interest due to unexpected features revealed by its use as a new laboratory animal for the study of prion diseases.…”
Section: Introductionmentioning
confidence: 99%
“…Our aim is to monitor the evolution of new emerging secondary structures, particularly the formation b-sheet structures, and compare the stability of these structures, in several hypothetical aS constructs starting from their respective unfolded configurations. We also report our analysis of the resulting structures obtained via MD simulations using the novel essential collective dynamics (ECD) methodology [44][45][46][47][48][49][50][51][52][53].…”
mentioning
confidence: 99%