Conformational Selection of α-Synuclein Tetramers at Biological Interfaces

Area of Science:

• Biochemistry
• Neuroscience
• Computational Biology

Background:

• Parkinson's disease (PD) is linked to toxic aggregation of alpha-synuclein (αS) oligomers.
• αS tetramers interacting with cell membranes may regulate aggregation.
• Understanding these interactions is crucial for developing PD therapeutics.

Purpose of the Study:

• To model diverse αS tetramer-cell membrane interactions.
• To compare structure-function relationships with experimental data.
• To identify mechanisms for controlling αS aggregation via membrane interactions.

Main Methods:

• Computational modeling of αS tetramer interactions with various membrane surfaces.
• Analysis of structure-function relations at the supramolecular-biological interface.
• Comparison of model predictions with existing experimental findings.

Main Results:

• Compact αS tetramers preferentially interact with highly charged membrane surfaces, stabilizing the aggregation-resistant form.
• Extended αS tetramer structures are favored on moderately charged membranes.
• Membrane curvature and charge influence tetramer stability and aggregation, enabling selective isolation using negatively charged micelles.

Conclusions:

• Lipid-mediated conformational selection offers a strategy to redirect αS assembly.
• Targeting nano-bio interactions can inhibit toxic protein aggregation in PD.
• Modeling provides insights into therapeutic approaches for PD based on membrane interactions.