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 protein involved in RNA processing and nuclear structure, and mutations in this gene cause a rare inherited form of ALS (Lou Gehrig's disease). Scientists used computer modeling to predict the structure of the S85C mutation (where serine at position 85 is replaced by cysteine), but the resulting model has very low confidence with an average score of 55.2 out of 100, indicating the structure is highly uncertain. This low confidence suggests the mutant protein may be disordered or dynamically structured, which could help explain how this mutation leads to ALS, though definitive conclusions require experimental validation.
Detailed Analysis
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 S85C variant shows well-folded RRM domains (37% high confidence) flanked by extensive disordered regions, with mutation in unstable N-terminus.
Average pLDDT of 55.2 with only 37% high-confidence residues indicates a predominantly low-confidence structure. Major destabilized regions include the N-terminus (residues 1-397), inter-RRM linker (residues 474-495), and the extensive C-terminal region (residues 572-847).
The two RRM domains (residues 398-473, 496-571) represent the highest confidence regions, while predicted disordered regions (residues 146-174, 187-214, 342-394, 588-786) and acidic/basic stretches correspond to low-confidence predictions, consistent with intrinsic disorder throughout much of MATR3.
The S85C mutation introduces a cysteine in the low-confidence N-terminal region, potentially affecting local structure or creating aberrant disulfide bonding, though the region's intrinsic disorder limits confident prediction of structural consequences.
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)
These papers are highly relevant as they directly address MATR3 S85C pathogenesis through both ALS-related mechanisms (UNC13A/REST pathway regulation) and detailed clinical characterization of the specific S85C mutation's phenotypic effects. They provide crucial insights into how MATR3 dysfunction contributes to motor neuron degeneration and the clinical manifestations of this autosomal dominant variant.
Clinical Agent (1)
The S85C variant in MATR3 represents the initial data point for tracking this autosomal dominant ALS-causing mutation, establishing a baseline for longitudinal studies of disease progression and penetrance. This serine-to-cysteine substitution at position 85 likely disrupts the protein's RNA-binding or nuclear matrix functions, contributing to motor neuron degeneration through altered RNA processing mechanisms. Collecting baseline data is clinically significant as it enables researchers to correlate genotype with phenotype over time, potentially identifying biomarkers for disease onset and progression in at-risk family members.
Structural Agent (1)
AlphaFold structure update: Baseline check: 2 structure(s) found
Supplements Agent (1)
No specific supplement or peptide therapeutic interventions for MATR3 S85C variant in ALS were identified in the current research landscape. The available preprints focus on basic mechanistic studies of MATR3 function and computational analysis of protein aggregation, without therapeutic development.
Synthesis Agent (1)
Synthesis of 1 findings (supplements): The current research landscape for the MATR3 S85C variant associated with autosomal dominant ALS rev...
Peptide Agent (1)
MATR3 S85C: 3 known binders (top: 22.7 nM); 1 candidate peptides designed