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SOD1 G93A

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G93A ALS P00441 July 12, 2026
Average Confidence: 97.7%

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

SOD1 G93A is one of the most studied genetic mutations causing familial ALS, a fatal disease where motor neurons progressively die. AlphaFold2 modeling of this variant shows extremely high structural confidence (97.7% average), indicating the mutation likely preserves the protein's overall fold while potentially affecting other properties like stability or aggregation tendency. This high-quality structural prediction provides a foundation for understanding how this specific mutation contributes to motor neuron death in ALS patients.

Detailed Analysis

Superoxide dismutase 1 (SOD1) is an enzyme that protects cells from oxidative damage by converting harmful superoxide radicals into less dangerous molecules. Mutations in the SOD1 gene are the second most common genetic cause of amyotrophic lateral sclerosis (ALS), a progressive neurodegenerative disease where motor neurons controlling voluntary muscle movement gradually die [2][3][6]. The G93A mutation is among the most extensively studied SOD1 variants associated with ALS, though the disease phenotype can vary considerably even among patients carrying identical mutations [6][7]. The AlphaFold2 structural prediction for SOD1 G93A shows exceptionally high confidence across the entire protein, with an average pLDDT score of 97.7. This indicates that the computational model reliably captures the protein's three-dimensional structure and suggests that the G93A mutation does not dramatically disrupt the overall protein architecture. This finding is consistent with the prevailing scientific understanding that SOD1 mutations cause disease not by destroying the protein's basic structure, but through more subtle mechanisms such as promoting protein instability, misfolding, and toxic aggregation into amyloid-like fibrils [5][8]. The disease mechanism in SOD1-ALS involves the mutant protein forming abnormal aggregates that accumulate in motor neurons. Research has shown that various SOD1 mutations, including those affecting similar structural regions, can destabilize the protein's native fold and promote the formation of beta-sheet-rich amyloid structures that are toxic to neurons [5]. Additionally, emerging evidence points to altered microglial function and impaired cellular clearance mechanisms as contributing factors in disease progression in SOD1 mouse models [1]. The high structural confidence of this prediction makes it a valuable starting point for understanding these pathological processes at the atomic level. Clinically, SOD1 mutations account for approximately 2% of all ALS cases but show variable penetrance and age of onset across different mutations [6][8]. Some SOD1 variants can present with atypical features, such as predominant upper motor neuron involvement rather than the more common lower motor neuron phenotype [7], or even juvenile-onset rapid progression in certain cases [4]. The availability of mutation-specific therapies like tofersen, an antisense oligonucleotide designed to reduce SOD1 protein levels, has made genetic testing increasingly important for treatment planning [3][8]. However, complete understanding of how specific mutations like G93A lead to selective motor neuron death remains an active area of investigation, with hypotheses focusing on toxic gain-of-function mechanisms involving protein aggregation, oxidative stress, and neuroinflammation.

Works Cited

[1] He et al. (2026). SGK1-mediated deficits in microglial phagocytosis drive pathological progression in amyotrophic lateral sclerosis. Journal of neuroinflammation. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42387584/) [2] Kotambail et al. (2026). Genome-wide spectrum of coding DNA variations in Indian patients with amyotrophic lateral sclerosis. Journal of neurology. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42384233/) [3] Felice et al. (2026). The Impact of Sponsored Genetic Testing in 170 Consecutive Consenting Patients With Amyotrophic Lateral Sclerosis: A Single-Site Retrospective Review. Muscle & nerve. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42324839/) [4] Ozlu et al. (2026). Two Patients With Juvenile-Onset, Rapidly Progressive Amyotrophic Lateral Sclerosis Associated With an SOD1 Variant (p.Asp125Gly) With Incomplete Penetrance. Muscle & nerve. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42265995/) [5] Hosseinpoor et al. (2026). Inhibitory effect of silymarin on amyloid formation in ALS-associated hSOD1 P66R mutant. International journal of biological macromolecules. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42250707/) [6] Richard et al. (2026). From Mutation to Manifestation: Penetrance in Amyotrophic Lateral Sclerosis. Genes. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42195033/) [7] Tavaglione et al. (2026). Expanding the phenotypic spectrum of SOD1‑related ALS: upper motor neuron predominance in a p.D91A case. Neurodegenerative disease management. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42183665/) [8] Braza et al. (2026). Tofersen in SOD1-associated amyotrophic lateral sclerosis: From molecular mechanisms to regulatory milestones. European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences. [PubMed](https://pubmed.ncbi.nlm.nih.gov/42173382/)

Similar Research

**Integrative genetic analysis illuminates ALS heritability and identifies risk genes.** Megat et al. (2023) *Relevant to ALS 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) *Relevant to ALS 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 ALS 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) *Relevant to ALS research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/38320753/) **Amyotrophic lateral sclerosis and frontotemporal dementia mutation reduces endothelial TDP-43 and causes blood-brain barrier defects.** Cheemala et al. (2025) *Relevant to ALS research* [Read on PubMed](https://pubmed.ncbi.nlm.nih.gov/40238886/)

03/Research Data

ClinVar Classification

Pathogenic

Review: criteria provided, multiple submitters

Last evaluated: 2026-01-01

Population Frequency

No population data available

Disease Associations

4193 total
amyotrophic lateral sclerosis
0.88
genetic literature: 0.74 clinical: 0.92 literature: 1.00 genetic association: 0.94 animal model: 0.54
spastic tetraplegia and axial hypotonia, progressive
0.69
literature: 0.01 animal model: 0.25 genetic association: 0.86 genetic literature: 0.78
motor neuron disorder
0.59
literature: 0.33 genetic association: 0.71
neurodegenerative disease
0.55
literature: 0.20 affected pathway: 0.90
familial amyotrophic lateral sclerosis
0.50
literature: 0.44 animal model: 0.44 genetic literature: 0.79

Showing 5 of 4193 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

Functional Sites

residue 47 Binding site
residue 49 Binding site
residue 64 Binding site
residue 64 Binding site
residue 72 Binding site
residue 81 Binding site
residue 84 Binding site
residue 121 Binding site

Binding Partners

PRDX5 (10 experiments)
SNCA (9 experiments)
CCS (7 experiments)
Hspa5 (7 experiments)
Chgb (6 experiments)
PSMC1 (5 experiments)
Chga (5 experiments)
ANXA8 (3 experiments)
AP2B1 (3 experiments)
ARL16 (3 experiments)

Gene Ontology

axon cytoplasm GO:1904115 cytoplasm GO:0005737 cytoplasmic vesicle GO:0031410 cytosol GO:0005829 dendrite cytoplasm GO:0032839 dense core granule GO:0031045 extracellular exosome GO:0070062 extracellular region GO:0005576 extracellular space GO:0005615 lysosome GO:0005764 mitochondrial intermembrane space GO:0005758 mitochondrial matrix GO:0005759 mitochondrion GO:0005739 neuronal cell body GO:0043025 nucleoplasm GO:0005654 +72 more

06/Structural Caption

SOD1 G93A variant shows exceptional structural confidence (pLDDT 97.7, 100% high-confidence residues) despite this mutation's known association with familial amyotrophic lateral sclerosis.

Average pLDDT of 97.7 with 100% high-confidence residues (154/154) indicates an exceptionally well-predicted structure with no destabilized regions across the entire chain.

Without domain annotations available, the uniformly high confidence across all 154 residues suggests a compact, well-folded structure characteristic of the SOD1 β-barrel architecture.

The G93A mutation, a common ALS-associated variant, does not appear to grossly destabilize the global fold in this structure prediction, though local perturbations may not be captured at this resolution.

07/Peptide Therapeutics

Aggregation Analysis

Aggregation propensity analysis identifies 1 hotspots (average score: 0.01) using Pawar+KyteDoolittle+charge algorithm.

Residues 149–153 (0.58)

08/Known Inhibitors

Known Binders from ChEMBL

CHEMBL1939222 EC50: 67.0 nM (pChEMBL 7.17)

CHEMBL1939222

CHEMBL1643557 EC50: 170.0 nM (pChEMBL 6.77)

CHEMBL1643557

CHEMBL2165611 EC50: 510.0 nM (pChEMBL 6.29)

CHEMBL2165611

CHEMBL2165609 EC50: 580.0 nM (pChEMBL 6.24)

CHEMBL2165609

CHEMBL1643556 EC50: 710.0 nM (pChEMBL 6.15)

CHEMBL1643556

CHEMBL2165607 EC50: 720.0 nM (pChEMBL 6.14)

CHEMBL2165607

CHEMBL2165605 EC50: 790.0 nM (pChEMBL 6.1)

CHEMBL2165605

CHEMBL2165608 EC50: 870.0 nM (pChEMBL 6.06)

CHEMBL2165608

CHEMBL2165612 EC50: 1020.0 nM (pChEMBL 5.99)

CHEMBL2165612

CHEMBL2165610 EC50: 1070.0 nM (pChEMBL 5.97)

CHEMBL2165610

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 149–153 (0.58 aggregation score)

Candidate ID

CP-SOD1-001 (7 residues · computational design)
âš  Drug-likeness concerns Stability: low | Toxicity: low
t½ ≈ 5 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 to SOD1 G93A-associated ALS as they cover critical aspects including disease mechanisms (protein aggregation, EV signaling, immune dysregulation), therapeutic interventions (tofersen gene therapy, aggregation inhibitors), and genetic interactions that accelerate disease progression. The studies provide both mechanistic insights into how SOD1 mutations drive pathology and evidence for emerging targeted treatments specifically designed for SOD1-ALS patients.

Clinical Agent (1)

Clinical Agent

No summary available

Structural Agent (1)

Structural Agent

AlphaFold structure update: Baseline check: 1 structure(s) found

Supplements Agent (1)

Supplements Agent

The therapeutic landscape for SOD1 G93A-related ALS shows limited supplement or peptide interventions in active clinical trials, with most current trials focused on gene therapy approaches (ALN-SOD, RAG-17, tofersen). Preclinical research has identified Amisodin as a trimeric SOD1 inhibitor with potential therapeutic effects, though this represents a small molecule drug rather than a traditional supplement. No trials specifically testing dietary supplements, nutritional interventions, or peptide therapeutics for SOD1 G93A were identified in the current landscape.

Synthesis Agent (1)

Synthesis Agent

Synthesis of 5 findings (clinical, literature, peptides, structural, supplements): Recent research on SOD1 G93A-associated ALS reveals a multifaceted therapeutic landscape dominated b...

Peptide Agent (1)

Peptide Agent

SOD1 G93A: 10 known binders (top: 67.0 nM); 1 candidate peptides designed