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Updated: Jul 8, 2026

Utilizing Time-Resolved Protein-Induced Fluorescence Enhancement to Identify Stable Local Conformations One α-Synuclein Monomer at a Time
Published on: May 30, 2021
Combined Effects of Mutation and Ionic Strength on α-Synuclein Reveal Generic Features of Aggregation-Prone Monomeric
Vaishnavi Tammara1,2, Ankita Das3, Zion Desai4
1Physical and Materials Chemistry Division, CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune, Maharashtra 411008, India.
Abstract:
α-Synuclein (αS) is a highly charged, intrinsically disordered protein (IDP) whose aberrant aggregation is linked to Parkinson's disease (PD). Along with wild-type (WT) αS, five single-point mutants (A30P, E46K, H50Q, G51D, and A53T) are implicated in familial PD. To resolve contradictory experimental observations under varying solution conditions, we investigated how ionic strength modulates the relative aggregation propensity of these six monomeric αS variants using atomistic simulations. Structural and energetic analyses at global, domain, and residue levels revealed that aggregation propensity rankings switch with increasing ionic strength but stabilize beyond physiological concentration, while A53T and H50Q consistently remain highly aggregation-prone. We additionally identified electrostatic-driven decoupling between global and local motions. Aggregation-prone monomers preferentially populate semicompact ensembles with β-sheet propensity, an exposed and stiff N-terminus with fewer interdomain contacts, a flexible yet compact C-terminus, and an NAC domain that is either under-protected and stiff or flexible and poorly hydrated. These monomers further exhibit strong intramolecular stabilization, poor solvation, counterion binding, and subdiffusive collapsing dynamics that may facilitate intermolecular encounters. We justified aggregation propensity trends across ionic strengths, validated physiological trends using a dimer model, suggested a generic monomer-to-aggregate mechanism, and reconciled simulations with experimental variability.
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