p38α Inhibitor and PRMT1 Activator Combination to Restore Physiological TDP-43 Phosphorylation-Methylation Balance

Target: MAPK14/PRMT1 Composite Score: 0.848 Price: $0.85▲20.3% Citation Quality: Pending neurodegeneration Status: promoted
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🧠 Neurodegeneration
✓ All Quality Gates Passed
Quality Report Card click to collapse
A
Composite: 0.848
Top 4% of 1222 hypotheses
T2 Supported
Literature-backed with debate validation
Needs convergence ≥0.40 (current: 0.00) for Established
B+ Mech. Plausibility 15% 0.75 Top 31%
B+ Evidence Strength 15% 0.72 Top 21%
B Novelty 12% 0.65 Top 68%
B+ Feasibility 12% 0.78 Top 25%
A Impact 12% 0.82 Top 20%
B Druggability 10% 0.68 Top 37%
B Safety Profile 8% 0.60 Top 37%
B+ Competition 6% 0.70 Top 41%
B+ Data Availability 5% 0.75 Top 25%
B+ Reproducibility 5% 0.70 Top 28%
Evidence
10 supporting | 6 opposing
Citation quality: 80%
Debates
1 session A
Avg quality: 0.82
Convergence
0.00 F 30 related hypothesis share this target

From Analysis:

What is the therapeutic window between insufficient and toxic levels of TDP-43 arginine methylation?

The debate highlighted a critical dosing paradox where both hypo- and hypermethylation could be harmful, but no clear boundaries were established. This knowledge gap prevents safe clinical translation of methylation-based therapies. Source: Debate session sess_SDA-2026-04-01-gap-006 (Analysis: SDA-2026-04-01-gap-006)

→ View full analysis & debate transcript

Hypotheses from Same Analysis (1)

These hypotheses emerged from the same multi-agent debate that produced this hypothesis.

HSPB1 Phosphorylation Mimetics to Promote Protective TDP-43 Liquid-Liquid Phase Separation
Score: 0.820 | Target: HSPB1

→ View full analysis & all 2 hypotheses

Description

Mechanistic Overview


p38α Inhibitor and PRMT1 Activator Combination to Restore Physiological TDP-43 Phosphorylation-Methylation Balance starts from the claim that modulating MAPK14/PRMT1 within the disease context of neurodegeneration can redirect a disease-relevant process. The original description reads: "# p38α Inhibitor and PRMT1 Activator Combination to Restore Physiological TDP-43 Phosphorylation-Methylation Balance ## 1. Mechanism of Action TAR DNA-binding protein 43 (TDP-43) is a 414-amino-acid nuclear RNA-binding protein that participates in multiple aspects of RNA processing, including transcription regulation, alternative splicing, mRNA stability, and transport.

...

No AI visual card yet

Curated Mechanism Pathway

Curated pathway diagram from expert analysis

flowchart TD
    A["TDP-43 Pathology"] -->|"cytoplasmic mislocalization"| B["TDP-43 Hyperphosphorylation"]
    B -->|"promotes aggregation"| C["TDP-43 Aggregation"]
    C -->|"loss of nuclear function"| D["Cryptic Exon Inclusion"]

    E["p38alpha MAPK Overactivation"] -->|"stress signaling"| B
    
    F["PRMT1 Underactivity"] -->|"reduced methylation"| G["TDP-43 Hypomethylation"]
    G -->|"impaired nuclear import"| A
    
    H["p38alpha Inhibitor"] -->|"blocks p38alpha"| I["Reduced TDP-43 Phosphorylation"]
    I -->|"decreased aggregation"| J["Improved TDP-43 Solubility"]
    
    K["PRMT1 Activator"] -->|"enhances PRMT1"| L["Restored TDP-43 Methylation"]
    L -->|"promotes nuclear localization"| M["TDP-43 Nuclear Function Recovery"]
    
    N["Combination Therapy"] -->|"dual mechanism"| O["Phosphorylation-Methylation Balance"]
    H -->|"component 1"| N
    K -->|"component 2"| N
    O -->|"synergistic effect"| J
    O -->|"restored homeostasis"| M

    style A fill:#ef5350,stroke:#fff,color:#000
    style B fill:#ef5350,stroke:#fff,color:#000
    style C fill:#ef5350,stroke:#fff,color:#000
    style D fill:#ef5350,stroke:#fff,color:#000
    style E fill:#ce93d8,stroke:#fff,color:#000
    style F fill:#ef5350,stroke:#fff,color:#000
    style G fill:#ef5350,stroke:#fff,color:#000
    style H fill:#81c784,stroke:#fff,color:#000
    style I fill:#4fc3f7,stroke:#fff,color:#000
    style J fill:#ffd54f,stroke:#fff,color:#000
    style K fill:#81c784,stroke:#fff,color:#000
    style L fill:#4fc3f7,stroke:#fff,color:#000
    style M fill:#ffd54f,stroke:#fff,color:#000
    style N fill:#81c784,stroke:#fff,color:#000
    style O fill:#4fc3f7,stroke:#fff,color:#000

3D Protein Structure

PDB: Open in RCSB AlphaFold model

Interactive 3D viewer powered by RCSB PDB / Mol*. Use mouse to rotate, scroll to zoom.

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 0.75 (15%) Evidence 0.72 (15%) Novelty 0.65 (12%) Feasibility 0.78 (12%) Impact 0.82 (12%) Druggability 0.68 (10%) Safety 0.60 (8%) Competition 0.70 (6%) Data Avail. 0.75 (5%) Reproducible 0.70 (5%) 0.848 composite
16 citations 16 with PMID Validation: 80% 10 supporting / 6 opposing
For (10)
No supporting evidence
No opposing evidence
(6) Against
High Medium Low
High Medium Low
Evidence Matrix — sortable by strength/year, click Abstract to expand
Evidence Types
10
5
1
MECH 10CLIN 5GENE 1EPID 0
ClaimStanceCategorySourceStrength ↕Year ↕Quality ↕PMIDsAbstract
P38α phosphorylation and PRMT1 methylation have op…SupportingMECH----PMID:39817908-
P38α inhibitors (neflamapimod) are in Phase 2 tria…SupportingCLIN----PMID:NCT05869669-
mRNA 3'-UTR binding pathway enrichment with T…SupportingMECH----PMID:39817908-
Neflamapimod showed reversal of synaptic dysfuncti…SupportingMECH----PMID:NCT05869669-
Methylosome co-localization of PRMT1/PRMT5 with TA…SupportingMECH----PMID:39817908-
Identification of energy metabolism-related biomar…SupportingCLINFront Cardiovas…-2022-PMID:36304554-
Calcium-dependent methylation by PRMT1 promotes er…SupportingMECHFEBS Lett-2020-PMID:31541584-
Ribosome Collisions Trigger General Stress Respons…SupportingGENECell-2020-PMID:32610081-
Gut stem cell aging is driven by mTORC1 via a p38 …SupportingMECHNat Commun-2020-PMID:31896747-
First-in-class ultralong-target-residence-time p38…SupportingCLINNat Cancer-2025-PMID:39820127-
No selective PRMT1 activator has been reported in …OpposingMECH----PMID:39817908-
Low-dose p38α inhibition (10-25% of inflammatory d…OpposingCLIN----PMID:NCT05869669-
PRMT1 inhibitors (AMI-1 analogs) are weakly potent…OpposingMECH----PMID:39817908-
Causality not established: methylation may be a se…OpposingMECH----PMID:30853299-
Molecular mechanisms and consequences of TDP-43 ph…OpposingMECHMol Neurodegene…-2025-PMID:40340943-
Preclinical and randomized clinical evaluation of …OpposingCLINNat Commun-2022-PMID:36130946-
Legacy Card View — expandable citation cards

Supporting Evidence 10

P38α phosphorylation and PRMT1 methylation have opposing roles in TDP-43 proteinopathy - PRMT1-mediated methyl…
P38α phosphorylation and PRMT1 methylation have opposing roles in TDP-43 proteinopathy - PRMT1-mediated methylation opposes p38α phosphorylation in driving TDP-43 pathology
P38α inhibitors (neflamapimod) are in Phase 2 trials for Alzheimer's and DLB with demonstrated CNS penetration…
P38α inhibitors (neflamapimod) are in Phase 2 trials for Alzheimer's and DLB with demonstrated CNS penetration and favorable safety profile
mRNA 3'-UTR binding pathway enrichment with TARDBP (GO:0003730, p=2.73e-08) supports the methylation-phosphory…
mRNA 3'-UTR binding pathway enrichment with TARDBP (GO:0003730, p=2.73e-08) supports the methylation-phosphorylation axis in RNA metabolism
Neflamapimod showed reversal of synaptic dysfunction in mild AD at 40mg BID oral dosing with good tolerability
Methylosome co-localization of PRMT1/PRMT5 with TARDBP confirmed by STRING analysis (GO:0034709, p=9.82e-06)
Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using ran…
Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.
Front Cardiovasc Med · 2022 · PMID:36304554
Calcium-dependent methylation by PRMT1 promotes erythroid differentiation through the p38α MAPK pathway.
FEBS Lett · 2020 · PMID:31541584
Ribosome Collisions Trigger General Stress Responses to Regulate Cell Fate.
Cell · 2020 · PMID:32610081
Gut stem cell aging is driven by mTORC1 via a p38 MAPK-p53 pathway.
Nat Commun · 2020 · PMID:31896747
First-in-class ultralong-target-residence-time p38α inhibitors as a mitosis-targeted therapy for colorectal ca…
First-in-class ultralong-target-residence-time p38α inhibitors as a mitosis-targeted therapy for colorectal cancer.
Nat Cancer · 2025 · PMID:39820127

Opposing Evidence 6

No selective PRMT1 activator has been reported in the literature - this is the critical bottleneck for the com…
No selective PRMT1 activator has been reported in the literature - this is the critical bottleneck for the combination strategy
Low-dose p38α inhibition (10-25% of inflammatory dosing) proposed for ALS has not been clinically validated
PRMT1 inhibitors (AMI-1 analogs) are weakly potent and non-selective across PRMT family members
Causality not established: methylation may be a secondary compensatory response rather than primary driver of …
Causality not established: methylation may be a secondary compensatory response rather than primary driver of TDP-43 mislocalization
Molecular mechanisms and consequences of TDP-43 phosphorylation in neurodegeneration.
Mol Neurodegener · 2025 · PMID:40340943
Preclinical and randomized clinical evaluation of the p38α kinase inhibitor neflamapimod for basal forebrain c…
Preclinical and randomized clinical evaluation of the p38α kinase inhibitor neflamapimod for basal forebrain cholinergic degeneration.
Nat Commun · 2022 · PMID:36130946
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 | 2026-04-12 | View Analysis
🧬 Theorist Proposes novel mechanisms and generates creative hypotheses

I'll generate mechanistically-specific hypotheses addressing the methylation dosing paradox in neurodegeneration.

Hypothesis 1: ADMA-Guided Adaptive PRMT Modulation

Title: Endogenous ADMA Feedback as Methylation Dose Biomarker

Mechanism: Protein arginine methyltransferases (PRMTs) generate asymmetric dimethylarginine (ADMA) as a byproduct, which accumulates at high PRMT activity and competitively inhibits both PRMTs and nitric oxide synthases. Use plasma/CSF ADMA concentration as a real-time biomarker to titrate PRMT modulator dosing, maintaining methylation within a physiological

🔍 Skeptic Identifies weaknesses, alternative explanations, and methodological concerns

Skeptic's Critical Evaluation

Hypothesis 1: ADMA-Guided Adaptive PRMT Modulation

Strongest Specific Weakness: Biomarker-Substrate Disconnect

The hypothesis conflates systemic ADMA concentration with neuronal methylation status at critical substrates. ADMA is a byproduct of arginine methylation distributed across the entire body, while TDP-43 methylation occurs in specific subcellular compartments of neurons—cells representing a tiny fraction of total body PRMT activity. The mechanistic chain from plasma ADMA → neuronal PRMT activity → TDP-43 methylation status is unestablished.

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

Domain Expert Response: Methylation Dosing Paradox in Neurodegeneration

1. Translational Potential Assessment

Hypothesis 1 (ADMA-Guided Adaptive PRMT Modulation): Moderate-High Translational Potential

The concept addresses a genuine clinical need—personalized dosing for epigenetic therapies—and ADMA measurement is already clinically validated (FDA-cleared assays for cardiovascular risk). However, the mechanistic leap from plasma biomarker to neuronal substrate modulation requires extensive de-risking.

Hypothesis 2 (Compartment-Selective Methylation): **Highest Potential

Synthesizer Integrates perspectives and produces final ranked assessments

{
"ranked_hypotheses": [
{
"rank": 1,
"title": "Nucleocytoplasmic Compartment-Selective PRMT Inhibition",
"mechanism": "Design PRMT inhibitors with subcellular compartmental targeting to modulate TDP-43 methylation in the nucleus while sparing cytoplasmic PRMT activity that maintains systemic ADMA homeostasis.",
"target_gene": "TARDBP/TDP-43",
"confidence_score": 0.55,
"novelty_score": 0.85,
"feasibility_score": 0.35,
"impact_score": 0.80,
"composite_score": 0.64,
"testable_prediction": "Compare methylation status of nuclear v

Price History

0.610.720.84 created: post_process (2026-04-13T05:29)evidence: evidence_update (2026-04-13T05:29)evidence: evidence_update (2026-04-13T05:29)debate: market_dynamics (2026-04-13T05:35)score_update: market_dynamics (2026-04-13T05:48)evidence: market_dynamics (2026-04-13T06:14)debate: market_dynamics (2026-04-13T06:31)evidence: market_dynamics (2026-04-13T07:15)score_update: market_dynamics (2026-04-13T07:41)debate: market_dynamics (2026-04-13T11:40)score_update: market_dynamics (2026-04-13T16:25)evidence: market_dynamics (2026-04-13T16:38) 0.95 0.49 2026-04-122026-04-172026-04-23 Market PriceScoreevidencedebate 54 events
7d Trend
Stable
7d Momentum
▼ 2.4%
Volatility
Low
0.0093
Events (7d)
8
⚡ Price Movement Log Recent 13 events
Event Price Change Source Time
Recalibrated $0.854 ▲ 23.4% market_dynamics 2026-04-23 04:12
📄 New Evidence $0.692 ▼ 0.8% market_dynamics 2026-04-13 16:38
📊 Score Update $0.698 ▲ 5.1% market_dynamics 2026-04-13 16:25
💬 Debate Round $0.664 ▲ 10.2% market_dynamics 2026-04-13 11:40
📊 Score Update $0.603 ▼ 10.5% market_dynamics 2026-04-13 07:41
📄 New Evidence $0.673 ▲ 11.3% market_dynamics 2026-04-13 07:15
💬 Debate Round $0.605 ▼ 13.7% market_dynamics 2026-04-13 06:31
📄 New Evidence $0.701 ▼ 1.5% market_dynamics 2026-04-13 06:14
📊 Score Update $0.712 ▲ 0.3% market_dynamics 2026-04-13 05:48
💬 Debate Round $0.710 ▲ 13.4% market_dynamics 2026-04-13 05:35
📄 New Evidence $0.626 ▼ 7.9% evidence_update 2026-04-13 05:29
📄 New Evidence $0.680 ▲ 9.6% evidence_update 2026-04-13 05:29
Listed $0.620 post_process 2026-04-13 05:29

Clinical Trials (5)

0
Active
0
Completed
554
Total Enrolled
PHASE2
Highest Phase
Search for Biomarkers of Neurodegenerative Diseases in Idiopathic REM Sleep Behavior Disorder N/A
UNKNOWN · NCT04048603 · Chinese University of Hong Kong
182 enrolled · 2019-05-15 · → 2022-03-31
This study is a prospective study with a mean of 7-year follow-up interval, aims to monitor the progression of α-synucleinopathy neurodegeneration by the evolution of prodromal markers and development
REM Sleep Behavior Disorder Neurodegeneration
Efficacy of Dorzolamide as an Adjuvant After Focal Photocoagulation in Clinically Significant Macular Edema N/A
UNKNOWN · NCT02227745 · Hospital Juarez de Mexico
60 enrolled · 2014-01 · → 2015-03
Photocoagulation is the standard treatment in the focal EMCS, disrupts vascular leakage and allows the pigment epithelium remove the intraretinal fluid is effective in reducing the incidence of visual
Diabetic Retinopathy Diabetic Macular Edema
Dorzolamide hydrochloride (2%) Placebo Sodium hyaluronate 4mg
Evaluation of the Frequency and Severity of Sleep Abnormalities in Patients With Parkinson's Disease NA
UNKNOWN · NCT04387812 · Tel-Aviv Sourasky Medical Center
240 enrolled · 2020-06-01 · → 2023-12-31
Sleep disturbances are one of the most common non-motor symptoms in PD, with an estimated prevalence as high as 40-90%. Sleep disturbances (particularly sleep duration, sleep fragmentation, Rapid Eye
Parkinson Disease GBA Gene Mutation Leucine-rich Repeat Kinase 2 (LRRK2) Gene Mutation
Xtrodes home PSG system
Ambroxol in Disease Modification in Parkinson Disease PHASE2
COMPLETED · NCT02941822 · University College, London
23 enrolled · 2016-12 · → 2018-04
This study will evaluate the safety, tolerability and pharmacodynamics of ambroxol in participants with Parkinson Disease. Participants will administer ambroxol at five dose levels and will undergo cl
Parkinson Disease
Ambroxol
Development of a Novel 18F-DTBZ PET Imaging as a Biomarker to Monitor Neurodegeneration of PARK6 and PARK8 Parkinsonism PHASE2
COMPLETED · NCT01759888 · Chang Gung Memorial Hospital
49 enrolled · 2011-08 · → 2014-12
The primary objective of this protocol is to access the utility of 18F-DTBZ PET imaging as an in vivo biomarker to monitor neurodegeneration of both PD mouse models and PD patients. Secondary, the inv
Parkinson's Disease
18F-DTBZ

📚 Cited Papers (13)

Cytoplasmic TDP-43 De-mixing Independent of Stress Granules Drives Inhibition of Nuclear Import, Loss of Nuclear TDP-43, and Cell Death.
Neuron (2019) · PMID:30853299
No extracted figures yet
Calcium-dependent methylation by PRMT1 promotes erythroid differentiation through the p38α MAPK pathway.
FEBS Lett (2020) · PMID:31541584
No extracted figures yet
Gut stem cell aging is driven by mTORC1 via a p38 MAPK-p53 pathway.
Nat Commun (2020) · PMID:31896747
No extracted figures yet
Ribosome Collisions Trigger General Stress Responses to Regulate Cell Fate.
Cell (2020) · PMID:32610081
No extracted figures yet
Preclinical and randomized clinical evaluation of the p38α kinase inhibitor neflamapimod for basal forebrain cholinergic degeneration.
Nature communications (2022) · PMID:36130946
No extracted figures yet
Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.
Front Cardiovasc Med (2022) · PMID:36304554
No extracted figures yet
Opposing roles of p38α-mediated phosphorylation and PRMT1-mediated arginine methylation in driving TDP-43 proteinopathy.
Cell reports (2025) · PMID:39817908
No extracted figures yet
Paper:39820127
· PMID:39820127
No extracted figures yet
Molecular mechanisms and consequences of TDP-43 phosphorylation in neurodegeneration.
Molecular neurodegeneration (2025) · PMID:40340943
No extracted figures yet
Paper:NCT05869669
No extracted figures yet
Calcium-dependent methylation by PRMT1 promotes erythroid differentiation through the p38α MAPK pathway.
FEBS Lett (2020) · PMID:31541584
No extracted figures yet
Identification of energy metabolism-related biomarkers for risk prediction of heart failure patients using random forest algorithm.
Front Cardiovasc Med (2022) · PMID:36304554
No extracted figures yet

📓 Linked Notebooks (1)

📓 What is the therapeutic window between insufficient and toxic levels of TDP-43 arginine methylation? — Analysis Notebook
CI-generated notebook stub for analysis SDA-2026-04-12-gap-debate-20260410-113051-5dce7651. The debate highlighted a critical dosing paradox where both hypo- and hypermethylation could be harmful, but …
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⚔ Arena Performance

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KG Entities (5)

HSP27HSP90HSPB1MAPK14/PRMT1neurodegeneration

Linked Experiments (1)

MAPK pathway inhibition by QTJD through butyrate mechanismexploratory | tests | 0.90

Related Hypotheses

TREM2-Dependent Astrocyte-Microglia Cross-talk in Neurodegeneration
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Score: 0.950 | neurodegeneration
PLCG2 Allosteric Modulation as a Precision Therapeutic for TREM2-Dependent Microglial Dysfunction
Score: 0.941 | neurodegeneration
Multi-Biomarker Composite Index Surpassing Amyloid PET for Treatment Response Prediction
Score: 0.933 | neurodegeneration
CYP46A1 Gene Therapy for Age-Related TREM2-Mediated Microglial Senescence Reversal
Score: 0.921 | neurodegeneration

Estimated Development

Estimated Cost
$68M
Timeline
8.0 years

🧪 Falsifiable Predictions (2)

2 total 0 confirmed 0 falsified
Combined p38α inhibition and PRMT1 activation will shift TDP-43 toward a hypermethylated/hypophosphorylated state in TDP-43opathy cellular models, achieving at least 40% increase in symmetric dimethylarginine modification at the expense of phospho-S409/410 site occupancy.
pending conf: 0.62
Expected outcome: TDP-43 methylation:phosphorylation ratio increases by ≥40% (measured by quantitative immunoblotting of methylated vs. phosphorylated TDP-43), with concurrent reduction in detergent-insoluble TDP-43 aggregates by ≥50%.
Falsified by: If PRMT1 activation (via CRISPR activation or chemical inducer) fails to increase TDP-43 methylation by ≥30% within 48 hours, OR if combined treatment produces no statistically significant improvement over p38α inhibition alone in TDP-43 solubility fractionation (p > 0.05 by ANOVA with Bonferroni correction).
Method: CRISPR/dCas9-PRMT1 activation or DMF (dimethyl fumarate, reported PRMT1 indirect activator) combined with p38α inhibitor (neflamapimod at 100 nM) in SH-SY5Y cells or iPSC-derived neurons expressing ALS-linked TDP-43 M337V mutation. Measure symmetric dimethylarginine (SMA) by methyl-arginine specific IP and phospho-S409/410 by phospho-specific antibody. 6-month timeframe using established aggregate fractionation protocols.
In a TDP-43 transgenic mouse model (TDP-43 A315T), combined p38α inhibitor treatment at sub-inflammatory doses (1-2 mg/kg) plus PRMT1 indirect activation will delay motor impairment onset by ≥25% and extend survival by ≥15 days compared to vehicle-treated controls.
pending conf: 0.55
Expected outcome: Primary endpoint: latency to fall on rotarod decreases by ≥25% slower progression (log-rank p < 0.05); secondary: survival extends by median 15 days (95% CI: 8-24 days) with 30% improvement in grip strength at 16 weeks.
Falsified by: If combined treatment fails to delay motor impairment onset by at least 15% OR extend median survival by less than 10 days compared to either monotherapy arm (p > 0.05 for log-rank test), OR if survival benefit is accompanied by significant bodyweight loss >20% indicating toxicity.
Method: TDP-43 A315T transgenic mice (Jackson Labs) treated with neflamapimod (1.5 mg/kg/day, IP) plus DMF (40 mg/kg/day, food-admixed) starting at 8 weeks of age. Endpoints: weekly rotarod, grip strength, weight monitoring, survival. n=20 per group, 18-month study duration. Motor and survival endpoints compared by Kaplan-Meier and mixed-effects ANOVA.

Knowledge Subgraph (4 edges)

co discussed (2)

HSP27HSPB1HSP90HSPB1

promoted: HSPB1 Phosphorylation Mimetics to Promote Protective TDP-43 Liquid-Liquid Phase Separation (1)

HSPB1neurodegeneration

promoted: p38α Inhibitor and PRMT1 Activator Combination to Restore Physiological TDP-43 Phosphorylation-Methy (1)

MAPK14/PRMT1neurodegeneration

Mechanism Pathway for MAPK14/PRMT1

Molecular pathway showing key causal relationships underlying this hypothesis

graph TD
    MAPK14_PRMT1["MAPK14/PRMT1"] -.->|promoted: p38α Inh| neurodegeneration["neurodegeneration"]
    HSPB1["HSPB1"] -->|promoted: HSPB1 Ph| neurodegeneration_1["neurodegeneration"]
    HSP27["HSP27"] -->|co discussed| HSPB1_2["HSPB1"]
    HSP90["HSP90"] -->|co discussed| HSPB1_3["HSPB1"]
    style MAPK14_PRMT1 fill:#ce93d8,stroke:#333,color:#000
    style neurodegeneration fill:#ef5350,stroke:#333,color:#000
    style HSPB1 fill:#ce93d8,stroke:#333,color:#000
    style neurodegeneration_1 fill:#ef5350,stroke:#333,color:#000
    style HSP27 fill:#ce93d8,stroke:#333,color:#000
    style HSPB1_2 fill:#ce93d8,stroke:#333,color:#000
    style HSP90 fill:#ce93d8,stroke:#333,color:#000
    style HSPB1_3 fill:#ce93d8,stroke:#333,color:#000

3D Protein Structure

🧬 MAPK14 — Search for structure Click to search RCSB PDB
🔍 Searching RCSB PDB for MAPK14 structures...
Querying Protein Data Bank API

Source Analysis

What is the therapeutic window between insufficient and toxic levels of TDP-43 arginine methylation?

neurodegeneration | 2026-04-12 | completed

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