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Originally published as Biophys J. BioFAST on March 24, 2006.
doi:10.1529/biophysj.105.079269
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Biophysical Journal 90:4574-4584 (2006)
© 2006 The Biophysical Society

Side-Chain Interactions Determine Amyloid Formation by Model Polyglutamine Peptides in Molecular Dynamics Simulations

Alexander J. Marchut and Carol K. Hall

Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27695

Correspondence: Address reprint requests to Carol K. Hall, Dept. of Chemical and Biomolecular Engineering, North Carolina State University, Engineering Bldg. I, Box 7905, 911 Partners Way, Raleigh, NC 27695-7905. Tel.: 919-515-3571; Fax: 919-515-3465; E-mail: hall{at}ncsu.edu.

The pathological manifestation of nine hereditary neurodegenerative diseases is the presence within the brain of aggregates of disease-specific proteins that contain polyglutamine tracts longer than a critical length. To improve our understanding of the processes by which polyglutamine-containing proteins misfold and aggregate, we have conducted molecular dynamics simulations of the aggregation of model polyglutamine peptides. This work was accomplished by extending the PRIME model to polyglutamine. PRIME is an off-lattice, unbiased, intermediate-resolution protein model based on an amino acid representation of between three and seven united atoms, depending on the residue being modeled. The effects of hydrophobicity on the system are studied by varying the strength of the hydrophobic interaction from 12.5% to 5% of the hydrogen-bonding interaction strength. In our simulations, we observe the spontaneous formation of aggregates and annular structures that are made up of ß-sheets starting from random configurations of random coils. This result was interesting because tubular protofibrils were recently found in experiments on polyglutamine aggregation and because of Perutz's prediction that polyglutamine would form water-filled nanotubes.




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A. Emperador, O. Carrillo, M. Rueda, and M. Orozco
Exploring the Suitability of Coarse-Grained Techniques for the Representation of Protein Dynamics
Biophys. J., September 1, 2008; 95(5): 2127 - 2138.
[Abstract] [Full Text] [PDF]




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