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Dynamical phase transitions reveal amyloid-like states on protein folding landscapes.

ABSTRACT: Developing an understanding of protein misfolding processes presents a crucial challenge for unlocking the mysteries of human disease. In this article, we present our observations of ?-sheet-rich misfolded states on a number of protein dynamical landscapes investigated through molecular dynamics simulation and Markov state models. We employ a nonequilibrium statistical mechanical theory to identify the glassy states in a protein's dynamics, and we discuss the nonnative, ?-sheet-rich states that play a distinct role in the slowest dynamics within seven protein folding systems. We highlight the fundamental similarity between these states and the amyloid structures responsible for many neurodegenerative diseases, and we discuss potential consequences for mechanisms of protein aggregation and intermolecular amyloid formation.

SUBMITTER: Weber JK

PROVIDER: S-EPMC4142240 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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Dynamical phase transitions reveal amyloid-like states on protein folding landscapes.

Weber Jeffrey K JK Jack Robert L RL Schwantes Christian R CR Pande Vijay S VS

Biophysical journal 20140801 4

Developing an understanding of protein misfolding processes presents a crucial challenge for unlocking the mysteries of human disease. In this article, we present our observations of β-sheet-rich misfolded states on a number of protein dynamical landscapes investigated through molecular dynamics simulation and Markov state models. We employ a nonequilibrium statistical mechanical theory to identify the glassy states in a protein's dynamics, and we discuss the nonnative, β-sheet-rich states that ...[more]

PMID: 25140433

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