01/3D Structure
? 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.
Controls:
- Rotate: Click and drag
- Zoom: Scroll wheel or pinch
- Pan: Right-click and drag (or two-finger drag)
- Reset: Double-click to reset view
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
MATR3 is a nuclear protein that helps process RNA in nerve and muscle cells, and mutations in it cause an inherited form of ALS as well as muscle disease. Scientists used AI-based structure prediction to analyze the F115C variant, but the model showed very low confidence (average score 54.6 out of 100), indicating the protein likely contains extensive disordered regions that current methods cannot reliably predict. This low confidence prevents structural analysis but aligns with MATR3's known role as an RNA-binding protein, which often contain flexible regions that are functionally important.
Detailed Analysis
Works Cited
Similar Research
03/Research Data
ClinVar Classification
Not found in ClinVar
Population Frequency
No population data available
Disease Associations
432 totalShowing 5 of 432 associations
AI Research Brief
04/AlphaFold Metrics
No visualization images available.
05/Domain Annotations
Structural Domains & Regions
Binding Partners
Gene Ontology
06/Structural Caption
MATR3 F115C variant shows low overall structural confidence (35% high-confidence residues) with well-folded RRM domains amid extensive N-terminal and interdomain disorder exacerbated by the mutation.
Average pLDDT of 54.6 with only 35% high-confidence residues (299/847) indicates substantial structural uncertainty. The N-terminal region (residues 1-397) preceding RRM1 and extensive interdomain regions (residues 342-394, 588-786) show pronounced destabilization.
The two RRM domains (398-473, 496-571) and C-terminal Matrin-type domain (801-832) likely represent the only well-folded regions. Multiple annotated disordered regions (146-174, 187-214, 342-394, 588-786) correlate with low confidence, while basic/acidic repetitive sequences throughout contribute to overall structural disorder.
The F115C mutation substitutes a bulky hydrophobic phenylalanine with a smaller cysteine in the poorly structured N-terminal region (residues 1-397), potentially disrupting local hydrophobic packing or introducing aberrant disulfide bonding that further destabilizes this already disordered domain.
07/Peptide Therapeutics
Aggregation Analysis
Aggregation propensity analysis identifies 1 hotspots (average score: -0.08) using Pawar+KyteDoolittle+charge algorithm.
08/Known Inhibitors
Known Binders from ChEMBL
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 575–579 (0.62 aggregation score)Candidate ID
CP-MATR3-001
(7 residues · computational design)
10/Agent Findings
Literature Agent (1)
This research reveals a key molecular mechanism by which MATR3 dysfunction contributes to ALS pathogenesis through the REST-UNC13A pathway. While not specific to the F115C variant, these findings provide crucial insight into how MATR3 loss-of-function affects motor neuron survival and synaptic integrity in ALS.
Clinical Agent (1)
The F115C variant in MATR3 represents the initial clinical data point for tracking disease progression in autosomal dominant ALS, establishing baseline measurements of motor function, cognitive status, and biomarkers before symptom onset or early in disease course. This baseline collection is clinically significant because it enables longitudinal monitoring to determine penetrance, age of onset, and rate of progression specific to this MATR3 variant, which is essential for genetic counseling and potential therapeutic intervention timing. The data will help establish whether F115C follows the typical MATR3-ALS pattern of distal muscle weakness and vocal cord paralysis or presents with variant-specific clinical features.
Structural Agent (1)
AlphaFold structure update: Baseline check: 2 structure(s) found
Supplements Agent (1)
No supplement or peptide therapeutic research was identified for MATR3 F115C in ALS. The limited preprint literature focuses on basic molecular mechanisms of MATR3 function in reproduction and computational analysis of protein aggregation, without therapeutic interventions relevant to this autosomal dominant ALS variant.
Synthesis Agent (1)
Synthesis of 5 findings (clinical, literature, peptides, structural, supplements): Recent research findings for the MATR3 F115C variant reveal significant progress in understanding it...
Peptide Agent (1)
MATR3 F115C: 3 known binders (top: 22.7 nM); 1 candidate peptides designed