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Nicy,

Publications and source records attributed to Nicy,.

2 recordsLinked to original sources

Energy landscapes and heat capacity signatures for monomers and dimers of amyloid forming hexapeptides

Amyloid formation is a hallmark of various neurodegenerative disorders. In this contribution, energy landscapes are explored for various hexapeptides that are known to form amyloids. Heat capacity (CV) analysis at low temperature for these hexapeptides reveals that the low energy structures contributing to the first heat capacity feature above a threshold temperature exhibit a variety of backbone conformations for amyloid forming monomers. The corresponding control sequences do not exhibit such structural polymorphism, as diagnosed via end-to-end distance and a dihedral angle defined for the monomer. A similar heat capacity analysis for dimer conformations obtained using basin-hopping global optimisation, shows clear features in end-to-end distance versus dihedral correlation plots, where amyloid-forming sequences exhibit a preference for larger end-to-end distances and larger positive dihedrals. These results hold for sequences taken from tau, amylin, insulin A chain, a de-novo designed peptide, and various control sequences. While there is a little overall correlation between the aggregation propensity and the temperature at which the low-temperature CV feature occurs, further analysis suggests that the amyloid forming sequences exhibit the key CV feature at a lower temperature compared to control sequences derived from the same protein.

biophysics↗

Energy landscapes and heat capacity signatures for peptides correlate with phase separation propensity

Phase separation plays an important role in the formation of membraneless compartments within the cell, and intrinsically disordered proteins with low-complexity sequences can drive this compartmentalisation. Various intermolecular forces, such as aromatic-aromatic and cation-aromatic interactions, promote phase separation. However, little is known about how the ability of proteins to phase separate under physiological conditions is encoded in their energy landscapes, and this is the focus of the present investigation. Our results provide a first glimpse into how the energy landscapes of minimal peptides that contain{pi} -{pi} and cation-{pi} interactions differ from the peptides that lack amino acids with such interactions. The peaks in the heat capacity (CV) as a function of temperature report on alternative low-lying conformations that differ significantly in terms of their enthalpic and entropic contributions. The CV analysis and subsequent quantification of frustration of the energy landscape suggest that the interactions that promote phase separation leads to features (peaks or inflection points) at low temperatures in CV, more features may occur for peptides containing residues with better phase separation propensity and the energy landscape is more frustrated for such peptides. Overall, this work links the features in the underlying single-molecule potential energy landscapes to their collective phase separation behaviour, and identifies quantities (CV and frustration metric) that can be utilised in soft material design.

biophysics↗