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Thermodynamic Selection of Steric Zipper Patterns in the Amyloid Cross-β Spine

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  • Jiyong Park
  • Byungnam Kahng
  • Wonmuk Hwang

Abstract

At the core of amyloid fibrils is the cross-β spine, a long tape of β-sheets formed by the constituent proteins. Recent high-resolution x-ray studies show that the unit of this filamentous structure is a β-sheet bilayer with side chains within the bilayer forming a tightly interdigitating “steric zipper” interface. However, for a given peptide, different bilayer patterns are possible, and no quantitative explanation exists regarding which pattern is selected or under what condition there can be more than one pattern observed, exhibiting molecular polymorphism. We address the structural selection mechanism by performing molecular dynamics simulations to calculate the free energy of incorporating a peptide monomer into a β-sheet bilayer. We test filaments formed by several types of peptides including GNNQQNY, NNQQ, VEALYL, KLVFFAE and STVIIE, and find that the patterns with the lowest binding free energy correspond to available atomistic structures with high accuracy. Molecular polymorphism, as exhibited by NNQQ, is likely because there are more than one most stable structures whose binding free energies differ by less than the thermal energy. Detailed analysis of individual energy terms reveals that these short peptides are not strained nor do they lose much conformational entropy upon incorporating into a β-sheet bilayer. The selection of a bilayer pattern is determined mainly by the van der Waals and hydrophobic forces as a quantitative measure of shape complementarity among side chains between the β-sheets. The requirement for self-complementary steric zipper formation supports that amyloid fibrils form more easily among similar or same sequences, and it also makes parallel β-sheets generally preferred over anti-parallel ones. But the presence of charged side chains appears to kinetically drive anti-parallel β-sheets to form at early stages of assembly, after which the bilayer formation is likely driven by energetics.Author Summary: Accumulation of amyloid fibrils is a salient feature of various protein misfolding diseases. Recent advances in precision experiments have begun to reveal their atomistic structures. Quantitative elucidation of how the observed structures are selected over other possible filament patterns would provide much insight into the formation and properties of amyloid fibrils. Using computer simulations and structural modeling, we demonstrate that the most stable filament pattern corresponds to the experimentally observed structure, and molecular polymorphism, selection of two or more patterns, is possible when there are more than one most stable structures. Ability to predict the structure allows for more detailed analysis, so that, for example, we can identify the most important residue for stabilizing the structure that could be therapeutically targeted. Our analysis will be useful for comparing different amyloid structures formed by the same protein or when delineating roles of different intermolecular forces in filament formation.

Suggested Citation

  • Jiyong Park & Byungnam Kahng & Wonmuk Hwang, 2009. "Thermodynamic Selection of Steric Zipper Patterns in the Amyloid Cross-β Spine," PLOS Computational Biology, Public Library of Science, vol. 5(9), pages 1-17, September.
  • Handle: RePEc:plo:pcbi00:1000492
    DOI: 10.1371/journal.pcbi.1000492
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    1. Mookyung Cheon & Iksoo Chang & Sandipan Mohanty & Leila M Luheshi & Christopher M Dobson & Michele Vendruscolo & Giorgio Favrin, 2007. "Structural Reorganisation and Potential Toxicity of Oligomeric Species Formed during the Assembly of Amyloid Fibrils," PLOS Computational Biology, Public Library of Science, vol. 3(9), pages 1-12, September.
    2. Christopher M. Dobson, 2003. "Protein folding and misfolding," Nature, Nature, vol. 426(6968), pages 884-890, December.
    3. Caroline F. Wright & Sarah A. Teichmann & Jane Clarke & Christopher M. Dobson, 2005. "The importance of sequence diversity in the aggregation and evolution of proteins," Nature, Nature, vol. 438(7069), pages 878-881, December.
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    1. Jessica Nasica-Labouze & Massimiliano Meli & Philippe Derreumaux & Giorgio Colombo & Normand Mousseau, 2011. "A Multiscale Approach to Characterize the Early Aggregation Steps of the Amyloid-Forming Peptide GNNQQNY from the Yeast Prion Sup-35," PLOS Computational Biology, Public Library of Science, vol. 7(5), pages 1-18, May.

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