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TDP43 Q331K

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Q331K ALS / FTD Q13148 June 20, 2026
Average Confidence: 64.6%

01/3D Structure

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? About the 3D Viewer

Mol* (pronounced "molstar") is an open-source molecular visualization tool used by the Protein Data Bank and AlphaFold Database. Learn more at molstar.org.

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What am I looking at?

This is a predicted 3D structure of the protein. The ribbon diagram shows the protein backbone—helices appear as coils, sheets as arrows, and loops as simple lines. The shape determines how the protein functions: where it binds to other molecules, how it catalyzes reactions, and how mutations might disrupt its activity.

Color legend:

The structure is colored by pLDDT confidence score, which indicates how confident AlphaFold is in each region's predicted position:

  • Blue (>90): Very high confidence
  • Cyan (70-90): Confident
  • Yellow (50-70): Low confidence
  • Orange (<50): Very low confidence, likely disordered

02/AI Analysis

TLDR

TDP-43 is a protein that normally helps regulate RNA in cells, but when it malfunctions it causes ALS and frontotemporal dementia (FTD) by forming toxic clumps in nerve cells. This analysis examined the Q331K variant using computer modeling, producing a structure with moderate-to-low average confidence (64.6 pLDDT), suggesting significant uncertainty in the predicted structure. The low confidence limits concrete structural insights, though the variant sits in a region known to be important for TDP-43's disease-related behavior.

Detailed Analysis

TDP-43 (TAR DNA-binding protein 43) is an RNA-binding protein essential for RNA metabolism, normally functioning in the cell nucleus. In ALS and FTD, TDP-43 misfolds and accumulates in toxic aggregates outside the nucleus, a pathological hallmark found in over 97% of ALS cases and nearly half of FTD cases [3]. The Q331K variant involves a change from glutamine to lysine at position 331, located in TDP-43's intrinsically disordered C-terminal domain (CTD), a region critical for both normal condensate formation and pathological aggregation [2][4]. The structural prediction for Q331K was generated using AlphaFold2/ColabFold methodology, yielding an average confidence score (pLDDT) of 64.6. This moderate-to-low confidence indicates substantial uncertainty in the predicted structure, particularly expected for the CTD region which is intrinsically disordered and lacks a stable folded structure [4]. Confidence scores below 70 indicate that specific structural details should be interpreted with considerable caution, as the model cannot reliably predict the conformation of disordered regions. The CTD's flexible nature is functionally important—it enables TDP-43 to undergo phase transitions into liquid-like condensates such as stress granules, but mutations in this region can drive aberrant transitions into solid, amyloid-like aggregates [2][4]. The Q331K substitution replaces a polar, uncharged glutamine with a positively charged lysine, potentially altering the electrostatic properties and phase behavior of the CTD. Research has shown that mutations in TDP-43's C-terminal alpha-helix region can uncouple normal condensate formation from pathological amyloid assembly [4], suggesting that charge changes like Q331K might similarly disrupt the protein's phase transition dynamics. Additionally, studies demonstrate that TDP-43 pathology involves complex molecular crosstalk with other proteins and is modulated by cellular factors that regulate phase behavior and nuclear-cytoplasmic transport [1][2], providing context for how single amino acid changes might trigger disease cascades. Given the low structural confidence and the inherently disordered nature of this protein region, the primary research value lies in recognizing Q331K as a variant in a functionally critical domain rather than in specific atomic-level structural predictions. The charge alteration from Q to K at position 331 occurs in a region where TDP-43's conformational dynamics directly influence its aggregation propensity and neurotoxic activity [2][4]. Understanding such variants contributes to the broader effort to identify biomarkers and therapeutic targets for ALS and FTD, conditions where distinguishing between TDP-43 and tau pathology is clinically important for guiding treatment strategies [3].

Works Cited

[1] Ribeiro et al. (2026). Molecular Modulation of the Crosstalk Between TDP-43 and SOD1. International journal of molecular sciences. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42074053/) [2] Chin et al. (2026). Nuclear export modulates TDP-43 phase transition and cytoplasmic aggregation. bioRxiv : the preprint server for biology. [PubMed](https://pubmed.ncbi.nlm.nih.gov/41993496/) [3] Honey et al. (2026). An acetylated Tau-174 CSF biomarker discriminates between TDP-43 and tau pathology in patients with frontotemporal lobar degeneration. Nature medicine. [PubMed](https://pubmed.ncbi.nlm.nih.gov/41986736/) [4] Byrd et al. (2026). An ALS-associated mutation in the C-terminal alpha-helix of TDP-43 uncouples condensate formation and amyloid assembly. Protein science : a publication of the Protein Society. [PubMed](https://pubmed.ncbi.nlm.nih.gov/41969219/)

Similar Research

**Integrative genetic analysis illuminates ALS heritability and identifies risk genes.** Megat et al. (2023) *Related research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/36670122/) **Biomarker discovery in Alzheimer's and neurodegenerative diseases using Nucleic Acid Linked Immuno-Sandwich Assay.** Ashton et al. (2025) *Related research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/40401628/) **Frontotemporal dementia. How to deal with its diagnostic complexity?** Antonioni et al. (2025) *Related research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/39911129/) **Proteomic analysis reveals distinct cerebrospinal fluid signatures across genetic frontotemporal dementia subtypes.** Sogorb-Esteve et al. (2025) *Related research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/39908349/) **MATR3 pathogenic variants differentially impair its cryptic splicing repression function.** Khan et al. (2024) *Related research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/38320753/)

03/Research Data

ClinVar Classification

Not found in ClinVar

Population Frequency

No population data available

Disease Associations

2578 total
amyotrophic lateral sclerosis
0.82
literature: 1.00 animal model: 0.62 genetic association: 0.94 genetic literature: 0.61
frontotemporal dementia with motor neuron disease
0.71
literature: 0.06 animal model: 0.60 genetic association: 0.87 genetic literature: 0.61
familial amyotrophic lateral sclerosis
0.48
literature: 0.12 animal model: 0.56 genetic literature: 0.76
frontotemporal dementia
0.45
literature: 0.99 animal model: 0.49 genetic association: 0.44 genetic literature: 0.61
neurodegenerative disease
0.45
literature: 0.60 affected pathway: 0.72

Showing 5 of 2578 associations

AI Research Brief

# Research Brief: TDP-43 Q331K Variant ## Pathogenic Mechanisms The TDP-43 Q331K variant represents a substitution in a protein critical for RNA metabolism and cellular homeostasis. TDP-43 functions through DNA binding and double-stranded DNA binding activities, while regulating mRNA stability through both 3'-UTR-mediated stabilization and destabilization mechanisms. The Q331K mutation introduces a charge reversal (glutamine to lysine) that may disrupt the protein's normal interaction networks, including associations with key partners such as PPP1R15A, FUS, OTUB1, ELAVL1, and GNB2. Critically, wild-type TDP-43 is prone to amyloid fibril formation, a hallmark of neurodegenerative proteinopathies. The Q331 residue is located outside the primary aggregation hotspot (residues 228-232, aggregation score: 0.71), yet the charge alteration at position 331 could potentially influence protein stability, alter electrostatic interactions critical for normal nuclear-cytoplasmic shuttling, or modify RNA binding specificity. The variant may enhance or stabilize pathological conformations through altered protein-protein interactions or disrupted autoinhibitory mechanisms. ## Clinical Significance Currently, variant-specific clinical and pathogenicity data for Q331K are notably absent from available databases and literature. This represents a significant knowledge gap, as the clinical classification (pathogenic, likely pathogenic, or variant of uncertain significance) remains undetermined. Population frequency data are not available, preventing assessment of whether this represents a rare disease-causing mutation or a more common polymorphism. The functional consequences of the glutamine-to-lysine substitution likely involve alterations in protein charge distribution and potential disruption of normal TDP-43 localization or regulatory mechanisms, though experimental validation is critically needed. ## Therapeutic Landscape The therapeutic landscape for TDP-43 proteinopathies centers on preventing pathological aggregation. The primary aggregation hotspot spans residues 228-232, representing a potential target for intervention strategies. However, no peptide inhibitors or small molecules specifically targeting TDP-43 Q331K have been documented in the current literature. The variant's position outside the main aggregation hotspot suggests that therapeutic approaches might need to focus on stabilizing native conformations or preventing early oligomerization events rather than directly blocking fibril formation. Computational approaches to generate candidate peptides targeting the Q331K-specific altered electrostatics could represent a novel
Last synthesized:

04/AlphaFold Metrics

Sequence coverage plot
Predicted Aligned Error (PAE) plot
pLDDT confidence plot

05/Domain Annotations

Structural Domains & Regions

residues 104–200 Domain — RRM 1
residues 191–262 Domain — RRM 2
residues 216–414 Region — Interaction with UBQLN2
residues 261–303 Region — Disordered
residues 341–373 Region — Disordered
residues 82–98 Motif — Nuclear localization signal
residues 239–250 Motif — Nuclear export signal
residues 261–274 Compositional bias — Basic and acidic residues
residues 275–303 Compositional bias — Gly residues
residues 342–358 Compositional bias — Low complexity

Binding Partners

PPP1R15A (10 experiments)
FUS (9 experiments)
OTUB1 (8 experiments)
ELAVL1 (7 experiments)
GNB2 (7 experiments)
HNRNPH1 (7 experiments)
XRN2 (7 experiments)
ANXA8 (6 experiments)
AP2B1 (6 experiments)
APP (6 experiments)

Gene Ontology

chromatin GO:0000785 cytoplasmic stress granule GO:0010494 interchromatin granule GO:0035061 mitochondrion GO:0005739 nuclear speck GO:0016607 nucleoplasm GO:0005654 nucleus GO:0005634 perichromatin fibrils GO:0005726 DNA binding GO:0003677 double-stranded DNA binding GO:0003690 identical protein binding GO:0042802 lipid binding GO:0008289 molecular condensate scaffold activity GO:0140693 mRNA 3'-UTR binding GO:0003730 pre-mRNA intronic binding GO:0097157 +21 more

06/Structural Caption

TDP-43 Q331K variant shows moderate structural confidence with well-folded RRM domains but extensive C-terminal disorder where the mutation may disrupt UBQLN2 binding.

Average pLDDT of 64.6 with 54% high-confidence residues indicates moderate overall structural reliability. Multiple disordered regions (residues 261-303, 341-373) and C-terminal domains show reduced confidence, consistent with intrinsic disorder.

The two RNA recognition motifs (RRM1: 104-200, RRM2: 191-262) likely correspond to higher confidence regions. The extensive C-terminal region (261-414) containing disordered segments, glycine-rich stretches, and low-complexity sequences maps to lower confidence areas, reflecting the known prion-like domain's conformational flexibility.

The Q331K substitution introduces a charge reversal (glutamine to lysine) within the UBQLN2 interaction region (216-414), potentially disrupting protein-protein interactions and affecting TDP-43's role in stress granule dynamics and protein quality control.

07/Peptide Therapeutics

Aggregation Analysis

Aggregation propensity analysis identifies 1 hotspots (average score: 0.00) using Pawar+KyteDoolittle+charge algorithm.

Residues 228–232 (0.71)

08/Known Inhibitors

No known inhibitors found. Run peptide agent to search literature.

09/Candidate Peptides

De Novo Peptide Design Pipeline

Pipeline: BoltzGen (de novo binder design) → Boltz-2 rescore → 8-gate wetlab filter → PK + BBB advisory gates. Target site selected from UniProt curated annotations, P2Rank pocket prediction, and aggregation propensity (in that priority order). Advisory gates annotate each candidate with estimated serum half-life, renal/immunogenicity risk, and (for CNS targets) a recommended blood-brain-barrier shuttle conjugation — without silently dropping designs.

Loading candidate statistics...

Sequences are withheld pending IP review. Full candidate data (sequences, scores, CIF files) is available to authorized reviewers via the /api/private/candidates/{fold_id} endpoint with X-Private-Key.

Legacy candidates (charge-complementary)

Target Region

Residues 228–232 (0.71 aggregation score)

Candidate ID

CP-TDP43-001 (7 residues · computational design)
âš  Drug-likeness concerns Stability: medium | Toxicity: low
t½ ≈ 1 min renal high ⚙ mods suggested peripheral target

10/Agent Findings

6 findings Last updated:
Literature: 1 Clinical: 1 Structural: 1 Synthesis: 1 Supplements: 1 Peptides: 1

Literature Agent (1)

Literature Agent

These papers are not directly relevant to understanding the TDP-43 Q331K variant specifically. While they provide important context about TDP-43 pathology in ALS/FTD and discuss various genetic mutations in related genes (including TARDBP), none examine the Q331K variant in particular or its specific biochemical, cellular, or clinical characteristics.

Clinical Agent (1)

Clinical Agent

No summary available

Structural Agent (1)

Structural Agent

AlphaFold structure update: Baseline check: 2 structure(s) found

Supplements Agent (1)

Supplements Agent

The therapeutic landscape for TDP-43 Q331K in ALS/FTD shows minimal direct supplement or peptide intervention research. Only one recruiting trial (NCT06051123) tests probiotics as a microbiome-modulating nutritional intervention. No trials specifically target the Q331K variant with peptides or supplements, though computational approaches are identifying TDP-43 aggregation inhibitors that could inform future peptide therapeutic design. The field remains focused primarily on biomarker discovery and natural history studies rather than supplement/peptide interventions.

Synthesis Agent (1)

Synthesis Agent

Synthesis of 2 findings (peptides, supplements): The TDP-43 Q331K variant landscape reveals a nascent but developing therapeutic pipeline with limite...

Peptide Agent (1)

Peptide Agent

TDP43 Q331K: 1 candidate peptides designed