Abstract
The ability to aggregate into β-sheet-rich fibrillar structures is a common property shared by many proteins. However, the propensity to aggregate and the precise mechanisms involved vary from protein to protein. Two currently intensely studied proteins are the Alzheimer’s-related amyloid β-peptide (Aβ) and the Parkinson’s-related α-synuclein (αS), both of which are disordered as free monomers and form fibrils. Here, we present studies of Aβ monomers and dimers and monomeric αS, based on an implicit solvent all-atom Monte Carlo (MC) approach. Somewhat unexpectedly, in the αS study, two distinct phases are observed. As a result, in the simulations, disordered αS has to overcome a rather large free-energy barrier in order to acquire a fibril-like fold. No corresponding barrier is observed in the Aβ simulations. Recently, the same computational model was used to study the folding of the Top7 protein, with > 90 residues and a mixed α + β fold. This chapter provides a summary of these Aβ , αS and Top7 studies.
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Irbäck, A., Mohanty, S. (2014). All-Atom Monte Carlo Simulations of Protein Folding and Aggregation. In: Liwo, A. (eds) Computational Methods to Study the Structure and Dynamics of Biomolecules and Biomolecular Processes. Springer Series in Bio-/Neuroinformatics, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28554-7_13
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DOI: https://doi.org/10.1007/978-3-642-28554-7_13
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