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
# AlphaFold Prediction: Prion Protein E200K Variant ## TLDR This is an AlphaFold-predicted structure of the E200K prion protein variant, a mutation linked to familial Creutzfeldt-Jakob disease (fCJD). The prediction shows high confidence throughout most of the N-terminal and core regions, suggesting a well-folded protein, though the mutation's role in disease likely involves altered misfolding propensity rather than gross structural changes visible here.
Detailed Analysis
03/Research Data
ClinVar Classification
Not found in ClinVar
Population Frequency
8.89e-06
Extremely rare (<0.01%)
AC: 13 / AN: 1461878
Disease Associations
2190 totalShowing 5 of 2190 associations
AI Research Brief
Research brief will be generated when agent findings are available.
04/AlphaFold Metrics
No visualization images available.
05/Domain Annotations
Structural Domains & Regions
Functional Sites
Binding Partners
Gene Ontology
06/Structural Caption
Structured caption not yet generated. Check back after the next fold analysis.
07/Peptide Therapeutics
Aggregation Analysis
Aggregation propensity analysis identifies 1 hotspots (average score: -0.01) 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 248–252 (0.83 aggregation score)Candidate ID
CP-PRNP-001
(7 residues · computational design)
10/Agent Findings
Clinical Agent (1)
No summary available
Structural Agent (1)
AlphaFold structure update: Baseline check: 1 structure(s) found
Supplements Agent (1)
Found 2 clinical trials for PRNP E200K (2 recruiting). Also found 5 relevant preprints.
Synthesis Agent (1)
Synthesis of 2 findings (peptides, supplements): Synthesis JSON could not be parsed; raw response is in agent logs....
Peptide Agent (1)
PRNP E200K: 10 known binders (top: 300.0 nM); 1 candidate peptides designed