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TAU N279K

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N279K Alzheimer's disease P10636 July 21, 2026
Average Confidence: 54.3%

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

The N279K variant in tau protein, which is linked to Alzheimer's disease, was analyzed using computational structure prediction to understand how this genetic change might affect the protein. The analysis achieved a moderate confidence score (pLDDT of 54.3), indicating significant uncertainty about the predicted structure, which reflects tau's naturally disordered character. This low confidence level means the structural predictions should be interpreted cautiously and cannot definitively show how N279K alters tau's behavior, though the variant occurs in a functionally important region where tau interacts with other molecules.

Detailed Analysis

Tau protein is essential for stabilizing microtubules (the cell's internal scaffolding) in brain neurons, but in Alzheimer's disease, tau becomes abnormally modified and aggregates into toxic tangles that correlate strongly with cognitive decline [4][5]. The N279K variant, where asparagine at position 279 is replaced by lysine, introduces a dramatic change from a polar, uncharged amino acid to a positively charged one. This substitution occurs in tau's proline-rich region, a segment that normally mediates interactions with other proteins and contributes to tau's regulatory functions. The structural analysis of N279K tau was performed using AlphaFold2 computational modeling, which predicted three-dimensional structures based on evolutionary information and physical principles. However, the average confidence score (pLDDT of 54.3) falls well below the threshold of 70 typically considered reliable for structural interpretation. This low confidence reflects tau's intrinsic disorder—unlike many proteins that fold into stable, well-defined shapes, tau naturally exists as a flexible, shape-shifting molecule. Regions with pLDDT below 70 indicate the prediction algorithm cannot confidently determine a single structural arrangement, which is expected for intrinsically disordered proteins like tau. The N279K substitution introduces a positive charge in a region critical for tau's protein-protein interactions. In principle, this charge change could alter how tau binds to microtubules, how it interacts with kinases that modify tau, or how it aggregates into pathological tangles. Research has demonstrated that tau pathology involves both abnormal phosphorylation and propagation of misfolded tau between cells [1][4], and genetic variants can influence these processes. However, the low structural confidence for N279K means we cannot reliably visualize specific conformational changes or predict precise molecular consequences from the computational model alone. The clinical context of tau variants is complex. While most Alzheimer's disease cases involve accumulation of both amyloid-beta plaques and tau tangles [3][5], the density and distribution of tau tangles correlates more strongly with cognitive symptoms than amyloid burden. Studies have identified genetic factors that influence tau deposition patterns [2], and patient-derived models have shown that human neurons may have unique vulnerabilities to tau pathology not captured in animal models [4]. The introduction of a charged residue at position 279 could theoretically affect any of these processes, but experimental validation would be needed to determine the actual functional impact. Given the moderate confidence of these structural predictions, the findings should be considered preliminary hypotheses rather than definitive structural insights. The computational model suggests that N279K may alter tau's local electrostatic environment and potentially its interaction interfaces, but experimental techniques such as biochemical binding assays, phosphorylation studies, or aggregation kinetics would be necessary to confirm how this variant actually affects tau function and its role in Alzheimer's disease pathology.

Works Cited

[1] Zemke et al. (2026). The NORAD -pumilio regulatory axis links lncRNA dysregulation to tau propagation-associated phenotypes. bioRxiv : the preprint server for biology. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42427771/) [2] Gunasekaran et al. (2026). Common and rare variant analyses implicate JARID2 in cerebral tau deposition. NPJ dementia. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42404994/) [3] Bittner et al. (2026). Baseline and placebo-related imaging, cerebrospinal fluid, plasma biomarker, and cognitive findings in unimpaired PSEN1 E280A mutation carriers and non-carriers in the Alzheimer's Prevention Initiative Autosomal Dominant Alzheimer's Disease Colombia Trial. EBioMedicine. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42468111/) [4] Ji et al. (2026). Patient-derived tau-seeded human neuronal chimeras recapitulate mature Alzheimer's tau pathology and uncover human-specific neuronal vulnerability. bioRxiv : the preprint server for biology. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42465485/) [5] Smirnov et al. (2026). Neurofibrillary tangle distribution in posterior cortical atrophy and typical early-onset Alzheimer's Disease. Free neuropathology. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42453899/)

Similar Research

**Biomarker discovery in Alzheimer's and neurodegenerative diseases using Nucleic Acid Linked Immuno-Sandwich Assay.** Ashton et al. (2025) *Relevant to Alzheimer's disease research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/40401628/) **Proteomic analysis reveals distinct cerebrospinal fluid signatures across genetic frontotemporal dementia subtypes.** Sogorb-Esteve et al. (2025) *Relevant to Alzheimer's disease research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/39908349/) **Protein quality control systems in neurodegeneration - culprits, mitigators, and solutions?** Ciechanover et al. (2025) *Relevant to Alzheimer's disease research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/40969213/) **Melatonin-Mediated Nrf2 Activation as a Potential Therapeutic Strategy in Mutation-Driven Neurodegenerative Diseases.** Inigo-Catalina et al. (2025) *Relevant to Alzheimer's disease research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/41154499/) **Alzheimer's Disease Continuum: Evaluating the Relationship between Fluid Biomarkers and Patients' Phenotype and Profile.** Gerlando et al. (2026) *Relevant to Alzheimer's disease research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/41619269/)

03/Research Data

ClinVar Classification

Not found in ClinVar

Population Frequency

No population data available

Disease Associations

3349 total
frontotemporal dementia
0.79
genetic literature: 0.83 clinical: 0.06 literature: 0.99 genetic association: 0.95 animal model: 0.43
Pick disease
0.76
literature: 0.78 animal model: 0.64 genetic association: 0.88 genetic literature: 0.78
supranuclear palsy, progressive, 1
0.73
literature: 0.99 animal model: 0.50 genetic association: 0.83 genetic literature: 0.78
Progressive supranuclear palsy - parkinsonism
0.71
literature: 0.01 animal model: 0.50 genetic association: 0.85 genetic literature: 0.83
Atypical progressive supranuclear palsy
0.71
literature: 0.01 animal model: 0.46 genetic association: 0.85 genetic literature: 0.83

Showing 5 of 3349 associations

AI Research Brief

Research brief will be generated when agent findings are available.

04/AlphaFold Metrics

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

05/Domain Annotations

Structural Domains & Regions

residues 561–591 Repeat — Tau/MAP 1
residues 592–622 Repeat — Tau/MAP 2
residues 623–653 Repeat — Tau/MAP 3
residues 654–685 Repeat — Tau/MAP 4
residues 1–573 Region — Disordered
residues 561–685 Region — Microtubule-binding domain
residues 715–734 Region — Disordered
residues 1–26 Compositional bias — Basic and acidic residues
residues 61–71 Compositional bias — Polar residues
residues 179–189 Compositional bias — Basic and acidic residues
residues 207–216 Compositional bias — Basic and acidic residues
residues 217–228 Compositional bias — Acidic residues
residues 314–323 Compositional bias — Basic and acidic residues
residues 324–340 Compositional bias — Low complexity
residues 344–356 Compositional bias — Basic and acidic residues
residues 381–393 Compositional bias — Basic and acidic residues
residues 442–453 Compositional bias — Low complexity
residues 455–466 Compositional bias — Basic and acidic residues
residues 491–503 Compositional bias — Pro residues
residues 504–531 Compositional bias — Low complexity
residues 718–733 Compositional bias — Polar residues

Binding Partners

HSP90AB1 (18 experiments)
GSK3B (14 experiments)
SNCA (12 experiments)
ANXA2 (10 experiments)
DDX6 (10 experiments)
SFN (10 experiments)
YWHAZ (9 experiments)
DCTN1 (9 experiments)
FYN (9 experiments)
HTRA1 (9 experiments)

Gene Ontology

axolemma GO:0030673 axon GO:0030424 axon cytoplasm GO:1904115 cell body GO:0044297 cytoplasm GO:0005737 cytoplasmic ribonucleoprotein granule GO:0036464 cytosol GO:0005829 dendrite GO:0030425 dendritic spine GO:0043197 extracellular region GO:0005576 glial cell projection GO:0097386 growth cone GO:0030426 main axon GO:0044304 membrane raft GO:0045121 microtubule GO:0005874 +85 more

06/Structural Caption

TAU N279K variant shows characteristic intrinsic disorder (18% high-confidence residues) with structured microtubule-binding repeats and mutation in disordered N-terminal domain.

Average pLDDT of 54.3 with only 18% high-confidence residues (65/352) indicates a highly disordered structure. The microtubule-binding domain (residues 561-685) likely contains the majority of structured regions, while N-terminal and C-terminal regions remain destabilized.

The four Tau/MAP repeats (residues 561-685) constituting the microtubule-binding domain represent the most structured region, consistent with known transient folding upon microtubule binding. Extensive disordered regions (residues 1-573, 715-734) and multiple low-complexity segments correlate with low predicted confidence throughout most of the protein.

The N279K mutation substitutes asparagine with lysine in the intrinsically disordered N-terminal projection domain, potentially altering electrostatic interactions but unlikely to significantly impact overall fold given the inherently disordered nature of this region.

07/Peptide Therapeutics

Aggregation Analysis

Aggregation propensity analysis identifies 1 hotspots (average score: -0.19) using Pawar+KyteDoolittle+charge algorithm.

Residues 542–546 (0.60)

08/Known Inhibitors

Known Binders from ChEMBL

CHEMBL2036430 Ki: 0.48 nM (pChEMBL 9.32)

CHEMBL2036430

CHEMBL2203439 Kd: 0.7 nM (pChEMBL 9.15)

CHEMBL2203439

CHEMBL3286988 IC50: 1.0 nM (pChEMBL 9.0)

CHEMBL3286988

CHEMBL2203332 IC50: 1.41 nM (pChEMBL 8.85)

CHEMBL2203332

CHEMBL2181533 IC50: 2.0 nM (pChEMBL 8.7)

CHEMBL2181533

CHEMBL2181532 IC50: 2.0 nM (pChEMBL 8.7)

CHEMBL2181532

CHEMBL3286982 IC50: 2.0 nM (pChEMBL 8.7)

CHEMBL3286982

CHEMBL3286983 IC50: 2.0 nM (pChEMBL 8.7)

CHEMBL3286983

CHEMBL3286984 IC50: 2.0 nM (pChEMBL 8.7)

CHEMBL3286984

CHEMBL480 Ki: 2.5 nM (pChEMBL 8.6)

LANSOPRAZOLE

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 542–546 (0.60 aggregation score)

Candidate ID

CP-TAU-001 (7 residues · computational design)
✓ Passes drug-likeness filters Stability: low | Toxicity: low
t½ ≈ 5 min renal high ⚙ mods suggested 🧠 Glutathione conjugate 👃 intranasal option

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 these papers are directly relevant to the TAU N279K variant. While multiple papers discuss tau pathology, phosphorylation, MAPT gene regulation, and tau-related biomarkers in Alzheimer's disease, none specifically investigate the N279K amino acid substitution in the tau protein or its role in AD pathogenesis. The papers provide general context about tau biology but lack specific information about this particular variant.

Clinical Agent (1)

Clinical Agent

No summary available

Structural Agent (1)

Structural Agent

AlphaFold structure update: Baseline check: 9 structure(s) found

Supplements Agent (1)

Supplements Agent

Found 50 clinical trials for TAU N279K (20 recruiting). Also found 20 relevant preprints.

Synthesis Agent (1)

Synthesis Agent

Synthesis of 5 findings (clinical, literature, peptides, structural, supplements): Synthesis JSON could not be parsed; raw response is in agent logs....

Peptide Agent (1)

Peptide Agent

TAU N279K: 10 known binders (top: 0.5 nM); 1 candidate peptides designed