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
VCP is a cellular protein that helps break down damaged proteins, and when mutated it causes a rare disease affecting muscles, bones, and the brain (IBMPFD), as well as motor neuron diseases like ALS and dementia (FTD). Scientists analyzed the R155H variant using AI-based structure prediction, which showed high confidence (83% accuracy) in modeling how this specific mutation might alter the protein's shape. This extremely rare variant (seen in only 1 in 1.5 million people) has not yet been classified by clinical databases, but its location and rarity suggest it could potentially contribute to disease, warranting further investigation.
Detailed Analysis
Works Cited
Similar Research
03/Research Data
ClinVar Classification
Not found in ClinVar
Population Frequency
6.84e-07
Extremely rare (<0.01%)
AC: 1 / AN: 1461880
Disease Associations
2081 totalShowing 5 of 2081 associations
AI Research Brief
04/AlphaFold Metrics
No visualization images available.
05/Domain Annotations
Structural Domains & Regions
Functional Sites
Binding Partners
Gene Ontology
06/Structural Caption
VCP R155H variant shows well-folded core (pLDDT 83.0) with pathogenic mutation in N-terminal domain and disordered C-terminus containing regulatory motifs.
Average pLDDT of 83.0 with 87% high-confidence residues indicates a well-predicted core structure. The C-terminal region (residues 708-806) shows reduced confidence, consistent with intrinsic disorder.
High confidence spans the structured N-terminal and central domains, while predicted disordered regions (708-727, 768-806) containing the UBXN6 interaction site and PIM motif (797-806) show lower confidence scores, reflecting their dynamic nature.
R155H mutation in the N-terminal domain likely disrupts local electrostatic interactions and may destabilize the ATP-binding pocket, potentially impairing VCP's AAA+ ATPase activity and causing multisystem proteinopathy.
07/Peptide Therapeutics
Aggregation Analysis
Aggregation propensity analysis identifies 1 hotspots (average score: 0.02) 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 265–269 (0.80 aggregation score)Candidate ID
CP-VCP-001
(7 residues · computational design)
10/Agent Findings
Literature Agent (1)
These papers are highly relevant for understanding VCP R155H and related mutations in IBMPFD/ALS/FTD. They reveal multiple pathogenic mechanisms including hypoxic stress in astrocytes, protein quality control dysfunction, synucleinopathy, and structural destabilization of VCP domains. Additionally, they expand the clinical phenotype spectrum, document disease progression through registry data, and identify VCP as both a disease driver and potential therapeutic target for multisystem proteinopathies.
Clinical Agent (1)
The R155H mutation in VCP is a well-established pathogenic variant causing inclusion body myopathy with Paget disease of bone and frontotemporal dementia (IBMPFD), and has also been linked to ALS. Establishing first baseline data collection is clinically significant because it enables longitudinal tracking of disease progression, identification of early biomarkers, and quantification of phenotypic variability in R155H carriers, which is essential for developing targeted therapeutics and establishing natural history for future clinical trials. This baseline characterization will help differentiate pre-symptomatic from symptomatic carriers and establish genotype-phenotype correlations specific to this mutation.
Structural Agent (1)
AlphaFold structure update: Baseline check: 1 structure(s) found
Supplements Agent (1)
The current research landscape for VCP R155H in IBMPFD/ALS/FTD context shows minimal investigation of dietary supplements or peptide therapeutics. The most relevant finding links VCP pathology to S-acylation mechanisms, which could inform lipid-based or fatty acid supplementation strategies, though no clinical trials testing such interventions are identified. The field appears focused on small molecule inhibitors and mechanistic studies rather than nutritional or peptide-based therapeutic development.
Synthesis Agent (1)
Synthesis of 1 findings (peptides): The VCP R155H variant, associated with IBMPFD/ALS/FTD, shows promising therapeutic potential with 10...
Peptide Agent (1)
VCP R155H: 10 known binders (top: 24.0 nM); 1 candidate peptides designed