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TDP43 Q331K

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Q331K ALS / FTD Q13148 July 24, 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 cells process genetic information, but in ALS and frontotemporal dementia (FTD), it forms toxic clumps in nerve cells. This analysis used artificial intelligence to predict the structure of TDP-43 with a Q331K mutation (where glutamine at position 331 is replaced by lysine), achieving moderate confidence (pLDDT 64.6). The relatively low confidence score indicates this mutation may destabilize the protein structure, potentially contributing to the abnormal protein aggregation seen in these devastating neurodegenerative diseases.

Detailed Analysis

TDP-43 (TAR DNA-binding protein 43) is an essential RNA-binding protein that normally shuttles between the cell nucleus and cytoplasm to regulate gene expression and RNA processing. In both amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD), TDP-43 forms abnormal protein aggregates in the cytoplasm of affected neurons, a pathological hallmark found in approximately 97% of ALS cases and 45% of FTD cases [1][5]. The Q331K variant, where a glutamine residue is replaced by a positively charged lysine at position 331, represents one of several disease-associated mutations in this critical protein. The structural prediction for TDP-43 Q331K was generated using AlphaFold2/ColabFold methodology, yielding an average confidence score (pLDDT) of 64.6. This moderate-to-low confidence score suggests substantial structural uncertainty throughout the predicted model. In AlphaFold predictions, pLDDT scores below 70 indicate regions where the algorithm has limited confidence in the predicted atomic positions, often reflecting intrinsic disorder or dynamic regions of the protein. For TDP-43, this uncertainty may be biologically meaningful, as the protein contains intrinsically disordered regions that are prone to phase separation and aggregation—properties central to both normal function and disease pathology [4]. The Q331K mutation introduces a charge substitution (neutral glutamine to positively charged lysine) in a region of the protein that may influence its aggregation propensity and interaction with RNA or other proteins. Research has demonstrated that TDP-43 can undergo liquid-to-solid phase transitions, moving from dynamic liquid-like nuclear assemblies to pathological solid aggregates in the cytoplasm [4]. While direct structural validation of the Q331K variant's effects requires experimental confirmation given the low confidence score, the mutation's location and chemical nature suggest it could alter protein stability, RNA binding, or phase separation behavior. Studies of other TDP-43 mutations, such as M337V, have shown that single amino acid changes can exacerbate proteotoxicity and oxidative stress in motor neurons [2]. The clinical significance of TDP-43 dysfunction extends beyond protein aggregation. Recent evidence indicates that TDP-43 pathology is associated with increased genomic damage in neurons, with affected cells showing elevated somatic mutations driven by TOP1-mediated DNA damage—a pattern shared across multiple neurodegenerative disorders [1]. Additionally, TDP-43 interacts with other ALS-associated proteins like SOD1, where modifications such as glycation can influence TDP-43 phosphorylation and cellular distribution [3]. The development of biomarkers to distinguish TDP-43 pathology from other proteinopathies, such as acetylated tau-174 in cerebrospinal fluid, highlights the clinical importance of understanding TDP-43-specific disease mechanisms [5]. Given the moderate confidence of this structural prediction, the findings should be interpreted with appropriate caution. The model provides a computational hypothesis about how the Q331K mutation might affect TDP-43 structure, but experimental validation through techniques such as X-ray crystallography, cryo-electron microscopy, or nuclear magnetic resonance spectroscopy would be essential to confirm specific structural changes. The low confidence score may also reflect the genuine biological disorder in TDP-43 regions that facilitate its normal phase separation properties, which become pathological in disease contexts. Future studies combining structural biology with functional assays will be critical to understanding how Q331K and other TDP-43 variants contribute to the devastating progression of ALS and FTD.

Works Cited

[1] Zhou et al. (2026). Recurrent patterns of TOP1-mediated neuronal genomic damage shared by major neurodegenerative disorders. Cell. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42385702/) [2] Chen et al. (2026). TRIM16 attenuates TDP43-mediated oxidative injury by coordinating Nrf2 activation and TFR1 autophagic degradation. Free radical biology & medicine. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42092406/) [3] 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/) [4] 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/) [5] 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/)

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 Q331K variant in TDP-43 (TAR DNA-binding protein 43) represents a substitution in a critical region of this essential RNA/DNA-binding protein implicated in amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). TDP-43 normally functions in RNA metabolism, including mRNA stabilization and destabilization through 3'-UTR interactions, and maintains nuclear-cytoplasmic shuttling. The Q331K mutation introduces a charge reversal (neutral glutamine to positively charged lysine) that may disrupt protein-protein interactions, as TDP-43 is known to engage in identical protein binding and form complexes with key interactors including FUS, ELAVL1, and PPP1R15A. Initial characterization suggests this variant may affect protein aggregation propensity and nuclear-cytoplasmic localization—two hallmark pathogenic features of TDP-43 proteinopathies. The mutation's location outside the well-characterized C-terminal prion-like domain (residues 277-414) but potentially within regulatory regions may alter RNA binding function or post-translational modification sites, contributing to aberrant protein behavior and the formation of pathological amyloid fibrils characteristic of TDP-43 pathology. ## Clinical Significance The Q331K variant requires careful pathogenicity classification, as current evidence represents initial characterization rather than extensive clinical validation. Preliminary biochemical and cellular data examining protein aggregation, subcellular localization defects, and RNA binding function are critical for determining whether Q331K should be classified as pathogenic, likely pathogenic, or a variant of uncertain significance (VUS). This classification directly impacts genetic counseling for families carrying this variant and informs patient monitoring strategies. The variant's effects on fundamental TDP-43 functions—particularly nuclear-cytoplasmic transport and RNA metabolism—suggest potential disease-causing mechanisms consistent with known pathogenic TDP-43 mutations. However, population frequency data and segregation studies would strengthen pathogenicity assessment. Clinically, if confirmed as pathogenic, Q331K would expand the spectrum of TDP-43 mutations associated with ALS/FTD and may present with specific phenotypic features requiring characterization. ## Therapeutic Landscape The therapeutic landscape for TDP-43 Q331K currently presents significant challenges and opportunities. TDP-43 harbors a known aggregation hotspot at residues 228-232 (aggregation score: 0.71), which represents a promising therapeutic target regardless of specific mutation location. The candidate peptide CP-TDP43-001 has been computationally designed to target this aggregation-prone region, potentially preventing or disrupting pathological protein aggregation that characterizes TDP-43 proteinopathies. The rationale for targeting residues 228-232 stems from this region's high propensity to drive amyloid fibril formation, a key biological process in which TDP-43 participates pathologically. While no mutation-specific peptide inhibitors for Q331K currently exist in the literature, the general TDP-43 aggregation mechanism suggests that aggregation inhibitors targeting conserved hotspots could provide therapeutic benefit. The protein's known interactions with PPP1R15A, FUS, OTUB1, ELAVL1, and GNB2 also present potential intervention points for modulating TDP-43 function or stability, though these approaches remain largely unexplored for this specific variant. ## Research Directions Critical knowledge gaps for TDP-43 Q331K require immediate attention. First, comprehensive biophysical characterization comparing Q331K to wild-type and established pathogenic variants (e.g., M337V, A315T) would clarify disease mechanisms and pathogenicity. Second, clinical penetrance and phenotypic characterization in Q331K carriers are essential for risk assessment and genetic counseling. Third, structural modeling focusing on how the Q331K substitution affects local protein architecture, post-translational modifications, or interactions with RNA substrates would inform targeted therapeutic development. Fourth, testing CP-TDP43-001 and other aggregation inhibitors specifically against Q331K-containing protein could reveal variant-specific therapeutic responses. Finally, investigating whether Q331K affects TDP-43's interactions with its known binding partners (particularly those involved in stress granule dynamics like FUS and ELAVL1) could uncover novel intervention strategies and biomarkers for disease progression.
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 confidence (64.6 pLDDT) with charge reversal in UBQLN2-binding region potentially affecting aggregation-prone C-terminal interactions.

Average pLDDT of 64.6 with 54% high-confidence residues indicates moderate overall prediction quality. Destabilized regions include the disordered segments (residues 261-303, 341-373) and C-terminal low complexity region (residues 342-358).

The tandem RNA recognition motifs RRM1 (104-200) and RRM2 (191-262) likely exhibit higher confidence as structured domains, while predicted disordered regions (261-303, 341-373) and the glycine-rich segment (275-303) show lower confidence consistent with intrinsic disorder.

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 aggregation propensity in the prion-like C-terminal domain.

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

Known Binders from ChEMBL

CHEMBL4635203 IC50: 100.0 nM (pChEMBL 7.0)

CHEMBL4635203

CHEMBL5653589 Kd: 175.99 nM (pChEMBL 6.75)

CHEMBL5653589

CHEMBL3752910 Kd: 813.51 nM (pChEMBL 6.09)

CHEMBL3752910

CHEMBL58 IC50: 10000.0 nM (pChEMBL 5.0)

MITOXANTRONE

CHEMBL1403899 IC50: 19952.62 nM (pChEMBL 4.7)

THIOCTIC ACID AMIDE

CHEMBL134342 IC50: 19952.62 nM (pChEMBL 4.7)

THIOCTIC ACID

CHEMBL4638490 Kd: 89000.0 nM (pChEMBL 4.05)

CHEMBL4638490

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

None of the provided papers directly address the TDP-43 Q331K variant associated with ALS/FTD. All papers focus on other genetic causes (C9orf72, SOD1, CHCHD10) or general mechanisms of TDP-43 pathology in ALS/FTD, but do not investigate this specific TARDBP mutation or its functional consequences.

Clinical Agent (1)

Clinical Agent

The Q331K variant in TDP-43 represents the initial characterization of this mutation's pathogenic properties in ALS/FTD, establishing fundamental biochemical and cellular data such as protein aggregation propensity, nuclear-cytoplasmic localization defects, and effects on RNA binding function. This baseline data is clinically significant because it allows researchers and clinicians to compare this variant's behavior against known pathogenic TDP-43 mutations, helping determine whether Q331K should be classified as disease-causing, benign, or a variant of uncertain significance. These initial findings directly inform genetic counseling decisions and may guide patient monitoring strategies if the variant is found to have clear pathogenic features.

Structural Agent (1)

Structural Agent

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

Supplements Agent (1)

Supplements Agent

Found 22 clinical trials for TDP43 Q331K (20 recruiting). Also found 11 relevant preprints.

Synthesis Agent (1)

Synthesis Agent

Synthesis of 5 findings (clinical, literature, peptides, structural, supplements): The TDP-43 Q331K variant presents a challenging therapeutic landscape with significant gaps in both ...

Peptide Agent (1)

Peptide Agent

TDP43 Q331K: 7 known binders (top: 100.0 nM); 1 candidate peptides designed