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MATR3 S85C

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S85C ALS (autosomal dominant, MATR3-linked) P43243 May 22, 2026
Average Confidence: 55.2%

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

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

MATR3 (Matrin-3) is a nuclear protein that plays critical roles in stabilizing nuclear structure, regulating RNA splicing (the process of cutting and rejoining genetic messages), and managing gene expression. Mutations in MATR3 cause autosomal dominant ALS, meaning a single mutated copy inherited from one parent is sufficient to cause disease. The S85C mutation replaces a serine (a small, polar amino acid) with cysteine (which contains a reactive sulfur group) at position 85 of the protein. The structural prediction for MATR3 S85C was generated using AlphaFold2 through the ColabFold platform, which uses artificial intelligence to predict protein structures from amino acid sequences. However, the resulting model exhibits an exceptionally low average confidence score (pLDDT) of 55.2, significantly below the threshold of 70 typically considered reliable for structural predictions. This low confidence indicates that the algorithm could not confidently predict a stable three-dimensional structure for this mutant protein. The very low confidence score likely reflects genuine structural disorder in the MATR3 S85C protein rather than simply a limitation of the prediction method. Many proteins, particularly those involved in RNA binding and nuclear organization like MATR3, contain intrinsically disordered regions (IDRs) that lack fixed three-dimensional structures and instead exist as dynamic, flexible chains. The introduction of cysteine at position 85 may destabilize local protein structure or promote aberrant disulfide bond formation or protein aggregation, all of which could disrupt normal MATR3 function. In the context of ALS pathology, structural disruption of MATR3 could impair its normal functions in RNA metabolism and nuclear integrity, leading to the motor neuron degeneration characteristic of the disease. The mutation may cause protein mislocalization, aggregation, or loss of normal binding partners. However, given the low confidence of this computational model, these structural interpretations remain speculative and require experimental validation through techniques such as X-ray crystallography, nuclear magnetic resonance spectroscopy, or biochemical assays to measure protein stability and aggregation propensity. ## 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/) **Amyotrophic lateral sclerosis and frontotemporal dementia mutation reduces endothelial TDP-43 and causes blood-brain barrier defects.** Cheemala et al. (2025) *Related research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/40238886/)

03/Research Data

ClinVar Classification

Not found in ClinVar

Population Frequency

No population data available

Disease Associations

432 total
amyotrophic lateral sclerosis
0.75
literature: 0.81 animal model: 0.28 genetic association: 0.85 genetic literature: 0.67
distal myopathy with vocal cord weakness
0.57
literature: 0.10 genetic association: 0.69 genetic literature: 0.61
neurodegenerative disease
0.53
literature: 0.08 affected pathway: 0.87
distal myopathy
0.41
literature: 0.40 genetic association: 0.25 genetic literature: 0.61
genetic disorder
0.19
literature: 0.01 genetic association: 0.32

Showing 5 of 432 associations

AI Research Brief

# Research Brief: MATR3 S85C Variant ## Pathogenic Mechanisms The MATR3 S85C variant represents a pathogenic serine-to-cysteine substitution at position 85 that disrupts critical protein functions in amyotrophic lateral sclerosis (ALS). MATR3 encodes a nuclear matrix protein with essential RNA-binding capabilities, involved in RNA processing, transport, and stabilization. The S85C mutation likely impairs these RNA-binding functions, contributing to motor neuron degeneration through altered RNA metabolism. Recent literature highlights that MATR3 dysfunction affects the UNC13A/REST pathway regulation, a crucial mechanism in ALS pathogenesis. The protein's normal functions include regulation of innate immune responses, blastocyst formation, and heart valve development, while its known interactors (TARDBP, RBM45, HNRNPK, RASD1) suggest involvement in RNA metabolism networks. The introduction of a cysteine residue may promote aberrant protein interactions or disulfide bond formation, potentially affecting protein stability and localization within the nuclear matrix. ## Clinical Significance The S85C variant in MATR3 follows an autosomal dominant inheritance pattern and represents a well-characterized ALS-causing mutation. This variant establishes critical baseline data for longitudinal tracking of disease progression and penetrance in affected families. The clinical characterization of S85C has provided detailed phenotypic insights, enabling genotype-phenotype correlations essential for identifying at-risk family members. The mutation's pathogenicity is supported by its direct association with motor neuron degeneration and ALS clinical manifestations. Establishing baseline clinical data for this variant is particularly significant as it facilitates the identification of biomarkers for disease onset and progression, potentially enabling earlier intervention strategies for carriers. ## Therapeutic Landscape Computational analysis has identified aggregation hotspots in MATR3 at residues 575-579 (aggregation score: 0.62), suggesting potential targets for therapeutic intervention. The candidate peptide CP-MATR3-001 has been designed to target this 575-579 region, representing a rational approach to preventing pathological protein aggregation. This aggregation-prone region likely contributes to protein misfolding and cellular toxicity characteristic of ALS pathology. However, the therapeutic landscape for MATR3 S85C remains relatively unexplored, with no established peptide inhibitors documented in the current literature. The identification of these aggregation hotspots provides a foundation for developing aggregation inhibitors or stabilizing compounds that could prevent the formation of toxic protein species. ## Research Directions Critical knowledge gaps exist regarding the precise molecular mechanisms by which S85C affects MATR3's RNA-binding specificity and its interactions with known partners like TARDBP and HNRNPK. Future research should focus on validating CP-MATR3-001's efficacy in cellular and animal models of ALS, while exploring whether targeting the 575-579 aggregation hotspot can prevent or ameliorate disease progression. Additional structural studies, building upon AlphaFold predictions, are needed to understand conformational changes induced by the S85C substitution. Investigating the variant's effects on the UNC13A/REST pathway in patient-derived cells could reveal targetable nodes for therapeutic intervention. Longitudinal clinical studies tracking S85C carriers would improve understanding of disease penetrance, age of onset variability, and progression rates, informing genetic counseling and clinical trial design.
Last synthesized:

04/AlphaFold Metrics

No visualization images available.

05/Domain Annotations

Structural Domains & Regions

residues 398–473 Domain — RRM 1
residues 496–571 Domain — RRM 2
residues 801–832 Zinc finger — Matrin-type
residues 146–174 Region — Disordered
residues 187–214 Region — Disordered
residues 342–394 Region — Disordered
residues 588–786 Region — Disordered
residues 710–718 Motif — Nuclear localization signal
residues 160–174 Compositional bias — Basic and acidic residues
residues 201–214 Compositional bias — Basic and acidic residues
residues 600–643 Compositional bias — Basic and acidic residues
residues 653–665 Compositional bias — Acidic residues
residues 666–676 Compositional bias — Low complexity
residues 689–704 Compositional bias — Basic and acidic residues
residues 767–780 Compositional bias — Basic and acidic residues

Binding Partners

RASD1 (6 experiments)
TARDBP (6 experiments)
RBM45 (5 experiments)
HNRNPK (4 experiments)
HNRNPK (4 experiments)
HTT (4 experiments)
DISC1 (3 experiments)
KRT27 (3 experiments)
KRT34 (3 experiments)
PCBP3 (3 experiments)

Gene Ontology

membrane GO:0016020 nuclear inner membrane GO:0005637 nuclear matrix GO:0016363 nucleus GO:0005634 identical protein binding GO:0042802 miRNA binding GO:0035198 RNA binding GO:0003723 structural molecule activity GO:0005198 zinc ion binding GO:0008270 activation of innate immune response GO:0002218 blastocyst formation GO:0001825 heart valve development GO:0003170 innate immune response GO:0045087 post-transcriptional regulation of gene expression GO:0010608 ventricular septum development GO:0003281

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.

Residues 575–579 (0.62)

08/Known Inhibitors

Known Binders from ChEMBL

CHEMBL5653589 Kd: 22.66 nM (pChEMBL 7.64)

CHEMBL5653589

CHEMBL1232461 IC50: 160.0 nM (pChEMBL 6.8)

MOLIBRESIB

CHEMBL3752910 Kd: 30972.89 nM (pChEMBL 4.51)

CHEMBL3752910

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)
âš  Drug-likeness concerns Stability: low | Toxicity: low
t½ ≈ 6 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 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)

Clinical Agent

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)

Structural Agent

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

Supplements Agent (1)

Supplements Agent

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 Agent

Synthesis of 1 findings (supplements): The current research landscape for the MATR3 S85C variant associated with autosomal dominant ALS rev...

Peptide Agent (1)

Peptide Agent

MATR3 S85C: 3 known binders (top: 22.7 nM); 1 candidate peptides designed