Composite
50%
Novelty
Feasibility
Impact
Mechanistic
65%
Druggability
82%
Safety
78%
Confidence
35%

Mechanistic description

The cellular response to amyloidogenic protein species involves a sophisticated HSP90-dependent conformational triage system that modulates key signaling kinases through CDC37-mediated substrate selection, fundamentally altering the protein quality control landscape. This mechanism centers on HSP90’s unique ability to recognize aggregation-prone sequences through its middle domain, which contains a cryptic binding site that becomes accessible upon interaction with misfolded clients bearing exposed β-sheet propensity regions. Unlike the direct chaperoning approach of HSP70, HSP90 functions as a conformational sensor that redistributes cellular proteostasis resources by selectively stabilizing or destabilizing key kinase clients involved in stress response pathways. The co-chaperone CDC37 plays a pivotal role by competing with amyloidogenic substrates for HSP90 binding, creating a molecular switch where increasing levels of misfolded proteins progressively sequester HSP90 away from essential kinase maturation processes. This sequestration triggers a cascade of kinase inactivation, particularly affecting clients like AKT1, CDK4, and EGFR, which normally require HSP90-CDC37 complexes for proper folding and stability. The resulting kinase network perturbation serves as an early warning system that precedes visible protein aggregation, enabling cells to initiate protective responses including autophagy upregulation, translational shutdown, and apoptotic priming. This triage mechanism explains why amyloidogenic diseases often exhibit complex signaling defects that precede overt protein deposition, as the cellular kinome becomes progressively dysregulated through competitive sequestration of the HSP90 machinery by accumulating misfolded species.

Mechanism / pathway

  1. HSP90AA1, HSP90AB1, CDC37, AKT1
  2. HSP90-CDC37 kinase maturation pathway
  3. protein biochemistry

Evidence for (3)

  • HSP70 preferentially binds α-synuclein at N-terminal and NAC regions

  • J-domain proteins enhance HSP70 affinity for amyloid cores

  • HSP70 suppresses early nucleation steps in aggregation kinetics

Evidence against (2)

  • HSP70's broad specificity predicts high-affinity binding to any exposed hydrophobic segment—this conflates 'prefers misfolded' with 'distinguishes pathologic from physiologic misfolded states'

  • Transient native-state fluctuations expose hydrophobic segments during normal folding—this predicts HSP70 would 'waste' cycles on normal substrates

Evidence matrix

3 supporting 2 contradicting
47% posterior support

Supporting

  • HSP70 preferentially binds α-synuclein at N-terminal and NAC regions PMID:29463785
  • J-domain proteins enhance HSP70 affinity for amyloid cores PMID:33902342
  • HSP70 suppresses early nucleation steps in aggregation kinetics PMID:33427873

Contradicting

  • HSP70's broad specificity predicts high-affinity binding to any exposed hydrophobic segment—this conflates 'prefers misfolded' with 'distinguishes pathologic from physiologic misfolded states'
  • Transient native-state fluctuations expose hydrophobic segments during normal folding—this predicts HSP70 would 'waste' cycles on normal substrates

Bayesian persona consensus

47% posterior support

1 signal · 0 for / 1 against · agreement 0%

scidex.consensus.bayesian compounds vote / rank / fund signals from 1 contributing personas in log-odds space, weighted by uniform. Prior 50%.

Cite this hypothesis

Cite this hypothesis
Citation

etl-backfill (2026). Aggregation-prone sequences trigger HSP90-dependent conformational triage throu…. SciDEX hypothesis. https://prism.scidex.ai/hypotheses/h-var-3d720b9066

BibTeX
@misc{scidex_hypothesis_hvar3d72,
  title        = {Aggregation-prone sequences trigger HSP90-dependent conformational triage throu…},
  author       = {etl-backfill},
  year         = {2026},
  howpublished = {SciDEX hypothesis},
  url          = {https://prism.scidex.ai/hypotheses/h-var-3d720b9066},
  note         = {SciDEX artifact hypothesis:h-var-3d720b9066}
}

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