Sep 2026· Protein Science· Vol 35· 0 citations· 48 references
Medicine
TL;DR
A mechanistic model in which selectivity for aggregated aSyn arises from an emergent mesoscale interface combining a polyelectrolyte brush with recurrent core hotspots is presented, establishing full‐length, brain‐derived fibril ensembles as a practical framework for understanding ligand recognition at amyloid surfaces.
Abstract
α‐Synuclein (aSyn) fibrils in Parkinson's disease are generally represented by their ordered cross‐β cores, although nearly half of the protein remains disordered in the fibrillar state. The unresolved N‐ and C‐terminal segments form a fuzzy coat that is expected to shape the surface encountered by molecular partners. Here, we reconstructed full‐length, brain‐derived aSyn Lewy‐fold fibrils by extending a patient‐derived cryo‐EM core spanning residues 31–100, with disordered termini, and sampling the resulting assemblies with the CALVADOS coarse‐grained force field. The acidic C‐terminal tails established recurrent, transient contacts with solvent‐exposed core motifs, especially β5/P2 and β9/P3, generating a dynamic surface in which aggregation‐prone ladders are intermittently shielded rather than permanently buried. Simulations with two experimentally validated aSyn‐binding peptides, PSMα3 and LL‐37, show that peptide recognition follows a two‐step process. Cationic peptides are first retained by the anionic fuzzy coat and subsequently engage exposed hydrophobic/electrostatic hotspots on the structured core. PSMα3 variants and LL‐37 controls support the importance of positive charge for capture, peptide flexibility for multivalent engagement, and the full‐length fibril architecture for persistent binding. These results present a mechanistic model in which selectivity for aggregated aSyn arises from an emergent mesoscale interface combining a polyelectrolyte brush with recurrent core hotspots. Together, these results establish full‐length, brain‐derived fibril ensembles as a practical framework for understanding ligand recognition at amyloid surfaces.
HIV‐associated neurocognitive disorders (HAND) persist in a substantial fraction of people living with HIV, implicating ongoing viral protein mediated neurotoxicity. Viral protein R (Vpr) has emerged as a key contributor to neuronal dysfunction and impaired proteostasis, including dysregulation of the aggregation‐prone...
Dwaipayan Chaudhuri, K. Giri· Advanced Theory and Simulati...· 0 citations
Pathological aggregation of α‐synuclein drives neuronal loss in Parkinson's disease. We therefore tested two optimized all‐d‐peptides, SVD‐17 and SVD‐1a, alongside the prototype SVD‐1. Surface plasmon resonance revealed that SVD‐17 binds monomeric α‐synuclein with a nanomolar KD of 1.09 nM. In vitro, SVD‐17 and SVD‐1a...
Sara Reithofer, Marc M. Sevenich, Madita Vollmer et al.· Aggregate· 0 citations
Results suggest that posttranslational modifications of αSyn do not induce significant secondary structural changes in monomeric αSyn, suggesting that the modifications themselves do not induce significant secondary structural changes in monomeric αSyn.
Tatsuhito Matsuo, I. Suetake, Mariko Kimura et al.· Journal of Peptide Science· 0 citations
The misfolding of human islet amyloid polypeptide (hIAPP) into soluble oligomers is a primary pathological event in type 2 diabetes, with the early dimerization process representing a critical pharmacological target. Here, we investigate the molecular mechanism by which rosmarinic acid (RA) counteracts full-length hI...
Gang Wang, Xin-Qiu Zhu, Zi-Qian Zhao et al.· ACS Chemical Neuroscience· 0 citations
The pathological aggregation of α-synuclein (α-syn), an intrinsically disordered protein that regulates synaptic vesicle trafficking in the brain, is a defining molecular feature in Parkinson’s disease (PD). Early oligomeric assemblies are widely considered the most neurotoxic species, yet their structural features rem...
Raya Sadighi, Andrea Istrati, Sigourney Karijodikoro et al.· ACS Central Science· 1 citation
ABSTRACT Tau aggregation is a central pathological feature of Alzheimer's disease, yet how different forms of tau—ranging from monomers to small soluble aggregates and mature fibrils—interact with the cellular environment remains poorly understood. Here, we combine immunoaffinity proteomics with single‐molecule techniq...
Dorothea Boeken, Paula Beltran Lobo, Yun-Zhao Wu et al.· Advancement of science· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.