ID: h-var-3d720b9066
Hypothesis

Aggregation-prone sequences trigger HSP90-dependent conformational triage through CDC37-mediated kinase pathway modulation

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 prot.
🧬 HSP90AA1, HSP90AB1, CDC37, AKT1🩺 protein-biochemistry🎯 Composite 50%💱 $0.51▲3.0%proposed
protein biochemistry
EvidencePending (0%)📖 0 cit🗣 1 debates 3 support 2 oppose
✓ All Quality Gates Passed
Mechanistic 0.65 (15%) Evidence 0.35 (15%) Novelty 0.00 (12%) Feasibility 0.00 (12%) Impact 0.00 (12%) Druggability 0.82 (10%) Safety 0.78 (8%) Competition 0.65 (6%) Data Avail. 0.80 (5%) Reproducible 0.72 (5%) KG Connect 0.50 (8%) 0.497 composite

🧪 Overview

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.

...

🧬 Mechanism

🧬 Curated Mechanism Pathway

Curated pathway from expert analysis

flowchart TD
    A["HSPA8, HSPA1A, DNAJB6, DNAJB2<br/>Hypothesis Target"]
    B["Aggregation<br/>Cited Mechanism"]
    C["Cellular Response<br/>Stress or Clearance Change"]
    D["Neural Circuit Effect<br/>Synapse/Glia Vulnerability"]
    E["Neurodegeneration<br/>Disease-Relevant Outcome"]
    A --> B
    B --> C
    C --> D
    D --> E
    style A fill:#1a237e,stroke:#4fc3f7,color:#4fc3f7
    style B fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a
    style E fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a

⚖️ Evidence

⚖️ Evidence Matrix3 supports2 contradicts
Supports
HSP70 preferentially binds α-synuclein at N-terminal and NAC regions
Supports
J-domain proteins enhance HSP70 affinity for amyloid cores
Supports
HSP70 suppresses early nucleation steps in aggregation kinetics
Contradicts
HSP70's broad specificity predicts high-affinity binding to any exposed hydrophobic segment—this conflates 'prefers misfolded' with 'distinguishes pathologic from physiologic misfolded states'
Contradicts
Transient native-state fluctuations expose hydrophobic segments during normal folding—this predicts HSP70 would 'waste' cycles on normal substrates
📖 Linked Papers

No linked papers recorded for this hypothesis yet.

🏥 Translation

🧬 3D Protein Structure — HSP90AA1

🧬 PDB 2CG9 Click to expand

Experimental structure from RCSB PDB | Powered by Mol*

🧠 GTEx v10 Brain ExpressionJSON

Median TPM across 13 brain regions for HSP90AA1, HSP90AB1, CDC37, AKT1 from GTEx v10.

Frontal Cortex BA9758 Cerebellar Hemisphere729 Spinal cord cervical c-1687 Hypothalamus667 Nucleus accumbens basal ganglia599 Substantia nigra597 Cerebellum580 Cortex573 Caudate basal ganglia529 Anterior cingulate cortex BA24524 Hippocampus486 Putamen basal ganglia418 Amygdala396median TPM (GTEx v10)

💉 Clinical Trials

No clinical trials data linked to this hypothesis yet.

No curated ClinVar variants loaded for this hypothesis.

Run scripts/backfill_clinvar_variants.py to fetch P/LP/VUS variants.

🔍 Search ClinVar for HSP90AA1, HSP90AB1, CDC37, AKT1 →

No DepMap CRISPR Chronos data found for HSP90AA1, HSP90AB1, CDC37, AKT1.

Run python3 scripts/backfill_hypothesis_depmap.py to populate.

💰 Estimated Development
Cost
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Timeline

🏆 Tournament

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📊 Market Indicators

7d Trend
Stable
7d Momentum
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Volatility
Low
0.0029
Events (7d)
1
Price History
▲3.0%

💾 Resource Usage

LLM Tokens
14,768
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Total Cost
$0.0443
Metadatasource: v1_phase_c_backfill · origin_type: debate_synthesizer
sourcev1_phase_c_backfill
origin_typedebate_synthesizer
_schema_version1
📊 Evidence Profile
Evidence Balance
+0%
Certainty
0%
Debates
0
Incoming
0
Outgoing
0
0 supporting 0 contradicting 0 neutral
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