Membrane interfacial selectivity for lipid-anchored pathologic conformers

Target: SNCA, HSPA8, DNAJB6 Composite Score: 0.518 Price: $0.52▼4.3% Citation Quality: Pending protein biochemistry Status: proposed
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🟢 Parkinson's Disease 🧠 Neurodegeneration
✓ All Quality Gates Passed
Evidence Strength Pending (0%)
7
Citations
1
Debates
7
Supporting
2
Opposing
Quality Report Card click to collapse
C+
Composite: 0.518
Top 65% of 1875 hypotheses
T4 Speculative
Novel AI-generated, no external validation
Needs 1+ supporting citation to reach Provisional
C+ Mech. Plausibility 15% 0.50 Top 76%
C+ Evidence Strength 15% 0.52 Top 54%
B+ Novelty 12% 0.72 Top 37%
C Feasibility 12% 0.48 Top 75%
C+ Impact 12% 0.58 Top 73%
C Druggability 10% 0.42 Top 79%
C+ Safety Profile 8% 0.58 Top 42%
B Competition 6% 0.65 Top 48%
C Data Availability 5% 0.48 Top 82%
C Reproducibility 5% 0.45 Top 78%
Evidence
7 supporting | 2 opposing
Citation quality: 0%
Debates
1 session B+
Avg quality: 0.73
Convergence
0.00 F 13 related hypothesis share this target

From Analysis:

Do chaperones selectively recognize pathological vs physiological protein conformations?

The debate revealed fundamental uncertainty about whether HSP70/HSP90 systems can distinguish pathological seeds from normal misfolded intermediates. This selectivity is crucial for therapeutic reprogramming strategies but remains mechanistically unclear. Source: Debate session sess_SDA-2026-04-08-gap-pubmed-20260406-062207-b800e5d3 (Analysis: SDA-2026-04-08-gap-pubmed-20260406-062207-b800e5d3)

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Description

Mechanistic Overview


Membrane interfacial selectivity for lipid-anchored pathologic conformers starts from the claim that modulating SNCA, HSPA8, DNAJB6 within the disease context of protein biochemistry can redirect a disease-relevant process. The original description reads: "## Mechanistic Overview Membrane interfacial selectivity for lipid-anchored pathologic conformers starts from the claim that modulating SNCA, HSPA8, DNAJB6 within the disease context of protein biochemistry can redirect a disease-relevant process. The original description reads: "## Mechanistic Overview Membrane interfacial selectivity for lipid-anchored pathologic conformers starts from the claim that α-synuclein exists in distinct membrane-bound conformations: α-helical (physiologic, on synaptic vesicles) vs.

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Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["SNCA Alpha-Synuclein
Presynaptic Protein"] B["SNCA Misfolding
Environmental Stress"] C["SNCA Oligomers
Toxic Protofibrils"] D["Mitochondrial Pore
Membrane Disruption"] E["Lewy Body Formation
Cytoplasmic Inclusions"] F["Dopaminergic Neuron
Dysfunction/Death"] G["Nigrostriatal Degeneration
Motor Symptoms"] H["SNCA A53T/A30P/E46K
Familial PD Mutations"] A --> B B --> C C --> D C --> E D --> F E --> F F --> G H -.->|"accelerates"| B style A fill:#1a237e,stroke:#4fc3f7,color:#4fc3f7 style C fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a style G fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a style H fill:#7b1fa2,stroke:#ce93d8,color:#ce93d8

GTEx v10 Brain Expression

JSON

Median TPM across 13 brain regions for SNCA, HSPA8, DNAJB6 from GTEx v10.

Cerebellar Hemisphere61.9 Frontal Cortex BA959.1 Anterior cingulate cortex BA2447.5 Cerebellum44.6 Cortex36.0 Spinal cord cervical c-125.7 Amygdala24.9 Nucleus accumbens basal ganglia21.6 Substantia nigra20.8 Hippocampus19.0 Hypothalamus18.5 Caudate basal ganglia13.5 Putamen basal ganglia12.4median TPM (GTEx v10)

Dimension Scores

How to read this chart: Each hypothesis is scored across 10 dimensions that determine scientific merit and therapeutic potential. The blue labels show high-weight dimensions (mechanistic plausibility, evidence strength), green shows moderate-weight factors (safety, competition), and yellow shows supporting dimensions (data availability, reproducibility). Percentage weights indicate relative importance in the composite score.
Mechanistic 0.50 (15%) Evidence 0.52 (15%) Novelty 0.72 (12%) Feasibility 0.48 (12%) Impact 0.58 (12%) Druggability 0.42 (10%) Safety 0.58 (8%) Competition 0.65 (6%) Data Avail. 0.48 (5%) Reproducible 0.45 (5%) KG Connect 0.50 (8%) 0.518 composite
9 citations 7 with PMID 5 medium Validation: 0% 7 supporting / 2 opposing
For (7)
5
No opposing evidence
(2) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
7
2
MECH 7CLIN 2GENE 0EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
Recombinant pro-CTSD (cathepsin D) enhances SNCA/α…SupportingMECHAutophagy MEDIUM2022-PMID:35287553-
Arginine methylation of HSPA8 by PRMT9 inhibits fe…SupportingCLINJ Transl Med MEDIUM2023-PMID:37715221-
Autophagy mediates the clearance of oligodendrogli…SupportingMECHAutophagy MEDIUM2022-PMID:35000546-
BAG5 regulates HSPA8-mediated protein folding requ…SupportingMECHEMBO Rep MEDIUM2024-PMID:38454159-
HBx-Induced HSPA8 Stimulates HBV Replication and S…SupportingCLINCancer Res MEDIUM2023-PMID:36745032-
Membrane-bound α-synuclein adopts distinct conform…SupportingMECH----PMID:29995934-
α-synuclein membrane interactions are disrupted in…SupportingMECH----PMID:34541823-
Mechanism for HSP70 membrane curvature sensing is …OpposingMECH------
Limited data on whether pathologic membrane-associ…OpposingMECH------
Legacy Card View — expandable citation cards

Supporting Evidence 7

Membrane-bound α-synuclein adopts distinct conformations with differential chaperone accessibility
α-synuclein membrane interactions are disrupted in pathogenic conformers
Recombinant pro-CTSD (cathepsin D) enhances SNCA/α-Synuclein degradation in α-Synucleinopathy models. MEDIUM
Autophagy · 2022 · PMID:35287553
Arginine methylation of HSPA8 by PRMT9 inhibits ferroptosis to accelerate hepatitis B virus-associated hepatoc… MEDIUM
Arginine methylation of HSPA8 by PRMT9 inhibits ferroptosis to accelerate hepatitis B virus-associated hepatocellular carcinoma progression.
J Transl Med · 2023 · PMID:37715221
Autophagy mediates the clearance of oligodendroglial SNCA/alpha-synuclein and TPPP/p25A in multiple system atr… MEDIUM
Autophagy mediates the clearance of oligodendroglial SNCA/alpha-synuclein and TPPP/p25A in multiple system atrophy models.
Autophagy · 2022 · PMID:35000546
BAG5 regulates HSPA8-mediated protein folding required for sperm head-tail coupling apparatus assembly. MEDIUM
EMBO Rep · 2024 · PMID:38454159
HBx-Induced HSPA8 Stimulates HBV Replication and Suppresses Ferroptosis to Support Liver Cancer Progression. MEDIUM
Cancer Res · 2023 · PMID:36745032

Opposing Evidence 2

Mechanism for HSP70 membrane curvature sensing is not well-established
Limited data on whether pathologic membrane-associated species are distinct targets vs. off-pathway intermedia…
Limited data on whether pathologic membrane-associated species are distinct targets vs. off-pathway intermediates
Multi-persona evaluation: This hypothesis was debated by AI agents with complementary expertise. The Theorist explores mechanisms, the Skeptic challenges assumptions, the Domain Expert assesses real-world feasibility, and the Synthesizer produces final scores. Expand each card to see their arguments.
Gap Analysis | 4 rounds | 2026-04-21 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

Therapeutic Hypotheses: Chaperone Selectivity for Pathological Conformers

Hypothesis 1: Co-chaperone heterogeneity determines conformational discrimination

Title: J-protein co-chaperone repertoire enables selective recognition of pathogenic conformers

Mechanism: DNAJB6 (HSP40 family) exhibits selective anti-amyloid activity distinct from DNAJB2, which favors protein refolding. The differential interaction kinetics between specific J-proteins and HSP70 create a "client code" that preferentially engages with the structured β-sheetrich cores of pathological aggregates versus the m

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Critical Evaluation of Chaperone Selectivity Hypotheses

Hypothesis 1: Co-chaperone Heterogeneity (DNAJB6/DNAJB2)

Weak Links:

  • The "client code" is descriptive terminology lacking mechanistic detail—how do specific J-protein/HSP70 kinetic differences translate to conformational discrimination?
  • DNAJB6 anti-amyloid activity may reflect kinetic suppression of nucleation rather than selective recognition of pre-formed pathogenic seeds
  • Overlapping J-protein functionality and redundancy questions whether this provides high-fidelity selectivity
Counter-Evidence:
  • Germline DNAJB6

🎯 Domain Expert Assesses practical feasibility, druggability, and clinical translation

Feasibility Assessment: Chaperone Selectivity Hypotheses

Executive Summary

Of the five hypotheses, Hypothesis 3 (amyloidogenic segment recognition) emerges as most feasible for therapeutic development, with a clear mechanism, accessible target, and tractable readouts. Hypothesis 1 (co-chaperone heterogeneity) is mechanistically plausible but presents significant development challenges. Hypothesis 4 (CHIP triage) is supported by strong genetic data but may lack conformational specificity. Hypothesis 2 (CK2-HSP90) is the weakest—too pleiotropic with insufficient validation

Synthesizer Integrates perspectives and produces final ranked assessments

{
"ranked_hypotheses": [
{
"title": "Exposed amyloidogenic segments (β-sheet propensity residues) serve as HSP70 recognition codes",
"description": "Pathological conformers expose 'aggregation nucleation' sequences—typically 5-15 residue hydrophobic stretches—that are buried in native folds. HSP70 binds these segments with higher affinity due to chronic exposure in misfolded states, explaining apparent 'selectivity' for pathogenic species over transient native-state fluctuations.",
"target_gene": "HSPA8, HSPA1A, DNAJB6, DNAJB2",
"dimension_scores": {
"evid

Price History

0.500.520.54 0.56 0.48 2026-04-212026-04-272026-04-28 Market PriceScoreevidencedebate 8 events
7d Trend
Falling
7d Momentum
▼ 4.3%
Volatility
Low
0.0186
Events (7d)
7

Clinical Trials (0)

No clinical trials data available

📚 Cited Papers (7)

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No extracted figures yet
No extracted figures yet
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📅 Citation Freshness Audit

Freshness score = exp(-age×ln2/5): halves every 5 years. Green >0.6, Amber 0.3–0.6, Red <0.3.

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📙 Related Wiki Pages (0)

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📓 Linked Notebooks (0)

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⚔ Arena Performance

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📊 Resource Economics & ROI

Moderate Efficiency Resource Efficiency Score
0.50
32.3th percentile (776 hypotheses)
Tokens Used
0
KG Edges Generated
0
Citations Produced
7

Cost Ratios

Cost per KG Edge
0.00 tokens
Lower is better (baseline: 2000)
Cost per Citation
0.00 tokens
Lower is better (baseline: 1000)
Cost per Score Point
0.00 tokens
Tokens / composite_score

Score Impact

Efficiency Boost to Composite
+0.050
10% weight of efficiency score
Adjusted Composite
0.568

How Economics Pricing Works

Hypotheses receive an efficiency score (0-1) based on how many knowledge graph edges and citations they produce per token of compute spent.

High-efficiency hypotheses (score >= 0.8) get a price premium in the market, pulling their price toward $0.580.

Low-efficiency hypotheses (score < 0.6) receive a discount, pulling their price toward $0.420.

Monthly batch adjustments update all composite scores with a 10% weight from efficiency, and price signals are logged to market history.

📋 Reviews View all →

Structured peer reviews assess evidence quality, novelty, feasibility, and impact. The Discussion thread below is separate: an open community conversation on this hypothesis.

💬 Discussion

No DepMap CRISPR Chronos data found for SNCA, HSPA8, DNAJB6.

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No curated ClinVar variants loaded for this hypothesis.

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

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⚖️ Governance History

No governance decisions recorded for this hypothesis.

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Related Hypotheses

Exposed amyloidogenic segments (β-sheet propensity residues) serve as HSP70 recognition codes
Score: 0.790 | protein biochemistry
J-protein co-chaperone repertoire enables selective recognition of pathogenic conformers
Score: 0.642 | protein biochemistry
CHIP-mediated ubiquitination selectively targets oligomeric pathologic conformers for proteasomal degradation
Score: 0.590 | protein biochemistry
Aggregation-prone sequences trigger HSP90-dependent conformational triage through CDC37-mediated kinase pathway modulation
Score: 0.497 | protein biochemistry
Distinct J-protein architectures decode exposed β-sheet recognition codes to enable selective pathogenic aggregate targeting
Score: 0.484 | protein biochemistry

Estimated Development

Estimated Cost
$0
Timeline
0 months

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
IF HSPA8 is overexpressed 2-fold in primary neurons derived from SNCA A53T transgenic mice for 48-72 hours, THEN membrane-bound SNCA will shift toward α-helical secondary structure as measured by FTIR spectroscopy, with a concurrent ≥40% reduction in Thioflavin-T positive aggregates.
pending conf: 0.55
Expected outcome: ≥40% reduction in Thioflavin-T positive SNCA aggregates and ≥30% increase in α-helical FTIR signal at membrane fractions
Falsified by: No significant change in SNCA secondary structure or aggregate load despite HSPA8 overexpression (>2-fold by western blot), ruling out curvature-dependent helical preference as the operative mechanism
Method: Primary cortical/mesencephalic neurons from SNCA A53T transgenic mice (available from Jackson Labs, stock #006236), lentiviral HSPA8 overexpression, Thioflavin-T high-content imaging at 48 and 72h, FTIR spectroscopy of membrane fractions
IF DNAJB6 is knocked down ≥70% using siRNA in human iPSC-derived dopaminergic neurons for 7 days, THEN the rate of SNCA accumulation on disrupted vesicles will increase ≥2-fold as measured by cryo-EM vesicle morphology score and SNCA puncta density.
pending conf: 0.50
Expected outcome: ≥2-fold increase in disrupted vesicle-associated SNCA puncta and ≥50% increase in cryo-EM scored morphologically disrupted vesicles per neuron
Falsified by: No change in SNCA membrane association or vesicle morphology despite ≥70% DNAJB6 knockdown (confirmed by qPCR and western), indicating DNAJB6 does not cooperate with HSPA8 in SNCA membrane quality control
Method: Human iPSC-derived dopaminergic neurons (WiCell or equivalent line), lipofection siRNA knockdown, 7-day time course, confocal SNCA puncta analysis, cryo-EM sample preparation and vesicle morphology scoring (blinded)

Knowledge Subgraph (0 edges)

No knowledge graph edges recorded

3D Protein Structure

🧬 SNCA — PDB 1XQ8 Click to expand 3D viewer

Experimental structure from RCSB PDB | Powered by Mol* | Rotate: click+drag | Zoom: scroll | Reset: right-click

Source Analysis

Do chaperones selectively recognize pathological vs physiological protein conformations?

protein biochemistry | 2026-04-10 | archived

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Same Analysis (5)

Exposed amyloidogenic segments (β-sheet propensity residues) serve as
Score: 0.79 · HSPA8, HSPA1A, DNAJB6, DNAJB2
J-protein co-chaperone repertoire enables selective recognition of pat
Score: 0.64 · DNAJB6, DNAJB2, HSPA8, HSPA1A
CHIP-mediated ubiquitination selectively targets oligomeric pathologic
Score: 0.59 · STUB1 (CHIP), HSPA8, VCP, PSMD4
Aggregation-prone sequences trigger HSP90-dependent conformational tri
Score: 0.50 · HSP90AA1, HSP90AB1, CDC37, AKT1
Distinct J-protein architectures decode exposed β-sheet recognition co
Score: 0.48 · DNAJB6
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