Exposed amyloidogenic segments (β-sheet propensity residues) serve as HSP70 recognition codes

Target: HSPA8, HSPA1A, DNAJB6, DNAJB2 Composite Score: 0.790 Price: $0.80▲7.7% Citation Quality: Pending protein biochemistry Status: proposed
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✓ All Quality Gates Passed
Evidence Strength Pending (0%)
8
Citations
1
Debates
8
Supporting
2
Opposing
Quality Report Card click to collapse
B+
Composite: 0.790
Top 4% of 1875 hypotheses
T4 Speculative
Novel AI-generated, no external validation
Needs 1+ supporting citation to reach Provisional
B Mech. Plausibility 15% 0.65 Top 46%
B+ Evidence Strength 15% 0.72 Top 14%
B Novelty 12% 0.60 Top 66%
A Feasibility 12% 0.85 Top 21%
A Impact 12% 0.80 Top 34%
A Druggability 10% 0.82 Top 22%
B+ Safety Profile 8% 0.78 Top 18%
B Competition 6% 0.65 Top 48%
A Data Availability 5% 0.80 Top 20%
B+ Reproducibility 5% 0.72 Top 21%
Evidence
8 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

Molecular Mechanism and Rationale

The recognition of amyloidogenic protein species by the heat shock protein 70 (HSP70) chaperone network represents a sophisticated quality control mechanism that distinguishes pathological conformers from their native counterparts through the exposure of specific β-sheet propensity sequences. This molecular recognition system centers on the constitutive HSP70 isoforms HSPA8 (also known as HSC70) and the inducible HSPA1A, which function in concert with their J-domain co-chaperones DNAJB6 and DNAJB2 to selectively bind amyloidogenic segments that become accessible during protein misfolding events.

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Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["HSPA8, HSPA1A, DNAJB6, DNAJB2
Hypothesis Target"] B["Aggregation
Cited Mechanism"] C["Cellular Response
Stress or Clearance Change"] D["Neural Circuit Effect
Synapse/Glia Vulnerability"] E["Neurodegeneration
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

GTEx v10 Brain Expression

JSON

Median TPM across 13 brain regions for HSPA8, HSPA1A, DNAJB6, DNAJB2 from GTEx v10.

Cerebellar Hemisphere768 Cerebellum744 Cortex579 Frontal Cortex BA9573 Spinal cord cervical c-1447 Hypothalamus384 Nucleus accumbens basal ganglia349 Substantia nigra328 Anterior cingulate cortex BA24327 Caudate basal ganglia299 Putamen basal ganglia265 Amygdala227 Hippocampus218median 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 0.65 (15%) Evidence 0.72 (15%) Novelty 0.60 (12%) Feasibility 0.85 (12%) Impact 0.80 (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%) 0.790 composite
10 citations 8 with PMID 5 medium Validation: 0% 8 supporting / 2 opposing
For (8)
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
1
MECH 7CLIN 2GENE 1EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
HSPA8 acts as an amyloidase to suppress necroptosi…SupportingGENECell Res MEDIUM2023-PMID:37580406-
LAMP2A, LAMP2B and LAMP2C: similar structures, div…SupportingMECHAutophagy MEDIUM2023-PMID:37469132-
HSPA1A, HSPA2, and HSPA8 Are Potential Molecular B…SupportingCLINDis Markers MEDIUM2022-PMID:36246562-
Hsp72 (HSPA1A) Prevents Human Islet Amyloid Polype…SupportingCLINPLoS One MEDIUM2016-PMID:26960140-
Alcohol drinking exacerbates neural and behavioral…SupportingMECHInt Rev Neurobi… MEDIUM2019-PMID:31733664-
HSP70 preferentially binds α-synuclein at N-termin…SupportingMECH----PMID:29463785-
J-domain proteins enhance HSP70 affinity for amylo…SupportingMECH----PMID:33902342-
HSP70 suppresses early nucleation steps in aggrega…SupportingMECH----PMID:33427873-
HSP70's broad specificity predicts high-affin…OpposingMECH------
Transient native-state fluctuations expose hydroph…OpposingMECH------
Legacy Card View — expandable citation cards

Supporting Evidence 8

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
HSPA8 acts as an amyloidase to suppress necroptosis by inhibiting and reversing functional amyloid formation. MEDIUM
Cell Res · 2023 · PMID:37580406
LAMP2A, LAMP2B and LAMP2C: similar structures, divergent roles. MEDIUM
Autophagy · 2023 · PMID:37469132
HSPA1A, HSPA2, and HSPA8 Are Potential Molecular Biomarkers for Prognosis among HSP70 Family in Alzheimer's Di… MEDIUM
HSPA1A, HSPA2, and HSPA8 Are Potential Molecular Biomarkers for Prognosis among HSP70 Family in Alzheimer's Disease.
Dis Markers · 2022 · PMID:36246562
Hsp72 (HSPA1A) Prevents Human Islet Amyloid Polypeptide Aggregation and Toxicity: A New Approach for Type 2 Di… MEDIUM
Hsp72 (HSPA1A) Prevents Human Islet Amyloid Polypeptide Aggregation and Toxicity: A New Approach for Type 2 Diabetes Treatment.
PLoS One · 2016 · PMID:26960140
Alcohol drinking exacerbates neural and behavioral pathology in the 3xTg-AD mouse model of Alzheimer's disease… MEDIUM
Alcohol drinking exacerbates neural and behavioral pathology in the 3xTg-AD mouse model of Alzheimer's disease.
Int Rev Neurobiol · 2019 · PMID:31733664

Opposing Evidence 2

HSP70's broad specificity predicts high-affinity binding to any exposed hydrophobic segment—this conflates 'pr…
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 woul…
Transient native-state fluctuations expose hydrophobic segments during normal folding—this predicts HSP70 would 'waste' cycles on normal substrates
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

0.690.740.79 0.83 0.64 2026-04-212026-04-272026-04-28 Market PriceScoreevidencedebate 8 events
7d Trend
Rising
7d Momentum
▲ 7.7%
Volatility
High
0.0703
Events (7d)
7

Clinical Trials (0)

No clinical trials data available

📚 Cited Papers (8)

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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.

No citation freshness data yet. Export bibliography — run scripts/audit_citation_freshness.py to populate.

📙 Related Wiki Pages (0)

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📓 Linked Notebooks (0)

No notebooks linked to this analysis yet. Notebooks are generated when Forge tools run analyses.

📊 Resource Economics & ROI

Moderate Efficiency Resource Efficiency Score
0.50
32.3th percentile (776 hypotheses)
Tokens Used
0
KG Edges Generated
0
Citations Produced
8

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
0.840

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 HSPA8, HSPA1A, DNAJB6, DNAJB2.

Run python3 scripts/backfill_hypothesis_depmap.py to populate.

No curated ClinVar variants loaded for this hypothesis.

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

🔍 Search ClinVar for HSPA8, HSPA1A, DNAJB6, DNAJB2 →
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⚖️ Governance History

No governance decisions recorded for this hypothesis.

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Related Hypotheses

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
Membrane interfacial selectivity for lipid-anchored pathologic conformers
Score: 0.518 | 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 (4)

4 total 0 confirmed 0 falsified
IF key β-sheet propensity residues in the NAC region of α-synuclein (residues 61-95) are mutated to reduce amyloidogenic potential, THEN HSP70 (HSPA8/HSPA1A) binding affinity will decrease significantly compared to wild-type.
pending conf: 0.50
Expected outcome: Significant reduction in HSP70 binding affinity (≥5-fold increase in Kd) for α-synuclein mutants with disrupted amyloidogenic segments versus wild-type α-synuclein
Falsified by: Mutation of NAC region β-sheet propensity residues does NOT reduce HSP70 binding affinity, indicating HSP70 does not preferentially recognize amyloidogenic segments as recognition codes
Method: Site-directed mutagenesis of NAC region (residues 61-95) in α-synuclein to substitute hydrophobic β-sheet forming residues (V37, F94, V95) with alanine, followed by surface plasmon resonance or isothermal titration calorimetry to measure HSP70 binding kinetics
IF DNAJB6 co-chaperone is depleted, THEN the enhanced HSP70 binding to structured amyloidogenic regions versus transiently exposed hydrophobic segments will be abolished, resulting in loss of selectivity for pathogenic conformers.
pending conf: 0.50
Expected outcome: Loss of preferential HSP70 binding to amyloidogenic regions versus physiological folding intermediates when J-domain co-chaperone DNAJB6 is knocked down or out, measured by decreased binding discrimination (Kd ratio <2-fold between pathogenic and physiological states)
Falsified by: DNAJB6 depletion does NOT reduce HSP70 binding selectivity for amyloidogenic segments, indicating J-domain co-chaperones are not required for HSP70 to distinguish pathogenic from physiological states
Method: siRNA knockdown of DNAJB6 in HEK293 cells expressing α-synuclein or TDP-43, followed by co-immunoprecipitation of HSPA8 with amyloidogenic versus physiological conformers, with structural validation using limited proteolysis-mass spectrometry
IF synthetic peptides corresponding to amyloidogenic β-sheet propensity sequences (e.g., α-synuclein residues 71-82) are immobilized and incubated with recombinant HSPA8/HSPA1A ± DNAJB6/DNAJB2, THEN binding affinity (Kd) will be significantly higher (lower nanomolar range) than for non-amyloidogenic control peptides matched for hydrophobicity using surface plasmon resonance.
pending conf: 0.50
Expected outcome: Amyloidogenic peptides will exhibit Kd values of 10-100 nM with HSP70/DNAJB complexes, compared to >1 μM for matched control peptides lacking β-sheet propensity, with measurable cooperative enhancement from J-domain co-chaperone addition.
Falsified by: If amyloidogenic β-sheet peptides show equivalent or lower HSP70 binding affinity (Kd >1 μM) compared to control peptides without β-sheet propensity, the hypothesis that β-sheet propensity residues serve as HSP70 recognition codes is disproven.
Method: Surface plasmon resonance (SPR) with synthetic peptides immobilized on NTA chips; measuring binding kinetics and equilibrium constants for HSPA8/HSPA1A alone and in complex with DNAJB6 or DNAJB2; control peptides matched for length and hydrophobicity but lacking β-sheet forming potential.
IF preformed α-synuclein amyloid seeds are pre-incubated with HSPA8/DNAJB6 complex before addition to monomeric substrate, THEN the nucleation lag phase will be prolonged by ≥2-fold compared to buffer-only controls, measured by ThT fluorescence increase, using in vitro aggregation kinetics.
pending conf: 0.50
Expected outcome: HSP70/DNAJB6 treatment of amyloid seeds will increase the aggregation lag time from ~2 hours (buffer control) to ≥4 hours, with unchanged maximal fluorescence amplitude, indicating nucleation suppression without affecting fibril elongation.
Falsified by: If HSP70/DNAJB6 treatment fails to prolong the nucleation lag phase (lag time <2 hours, equivalent to buffer control) or actually accelerates aggregation kinetics, the hypothesis that HSP70 selectively recognizes and sequesters amyloidogenic nucleation sequences is disproven.
Method: In vitro aggregation assay using recombinant α-synuclein with 5% preformed seeds; ThT fluorescence monitoring every 10 minutes; comparing buffer control, HSP70 alone, HSP70+DNAJB6, and non-cognate DNAJB8 controls; fitting sigmoidal curves to extract lag phase duration.

Knowledge Subgraph (0 edges)

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3D Protein Structure

🧬 HSPA8 — Search for structure Click to search RCSB PDB
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Source Analysis

Do chaperones selectively recognize pathological vs physiological protein conformations?

protein biochemistry | 2026-04-10 | archived

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Same Analysis (5)

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
Membrane interfacial selectivity for lipid-anchored pathologic conform
Score: 0.52 · SNCA, HSPA8, DNAJB6
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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