Targets — browse / sort / filter (view)
Data license: CC BY 4.0 · Data source: apt-scout automated curation pipeline (E. Dohi, NCNP) — values harvested from public databases; raw source stored per target
- id
- UniProt accession (human). Links to uniprot.org.
- gene_symbol
- Gene symbol (e.g. ITGB3).
- protein_name
- Protein name (UniProt).
- tier
- Tier 1 = PDB-anchored; Tier 1.5 = AlphaFold-confident.
- has_structure
- 1 if the target protein has a reported experimental 3D structure (PDB). This is the CORE requirement the aptamer-Kd layer is built around — filter to 1 for the structure-backed set.
- evidence_priority
- DETERMINISTIC, reproducible prioritisation (0-1) computed at build time from real harvested columns: 0.35*experimental-structure(PDB=1 / AlphaFold-only=0.3) + 0.30*Open-Targets-top-disease-score + 0.20*PREDICTED-surface-accessibility(A_surface=1) + 0.15*EV-detection(EV-Map). A transparent ranking AID, not a validation; the surface/EV terms are PREDICTIONS/DETECTIONS, not measured EV-surface exposure. Recomputable exactly from this DB.
- has_activation_state_pdb_pair
- 1 if a curated ACTIVE/INACTIVE PDB pair exists (only 11 targets).
- in_cev_map
- Detected in the EV-Map plasma-EV dataset (Rai & Greening 2025, Nat Cell Biol, 10.1038/s41556-025-01795-7) = 3,422 apt-scout targets (broad detected proteome). The EV-Map CONSERVED EV proteome is 182 proteins (42 non-EV); apt-scout matches 104 of these conserved EV-hallmark proteins as targets by gene (the other 78 are not apt-scout targets). Use the ev_hallmark_targets query for that subset. IMPORTANT: EV-Map detection means the protein is EV CARGO (present in the vesicle) — it does NOT mean surface-exposed. Rai & Greening 2025 run a separate membrane-impermeant biotinylation assay giving a 151-protein SURFACEOME, and show the conserved SDCBP/syntenin is luminal (not surface-accessible). For genuine EV-surface accessibility use that 151-protein set, not EV-Map presence.
- has_known_aptamer
- 1 if PubMed '(gene) AND (aptamer OR SELEX)' returned any hit (KEYWORD co-mention, includes false positives — NOT a verified aptamer). For verified aptamers with Kd, see the Binding-affinities (v_kd) layer.
- opentargets_top_disease_score
- Open Targets association score (0-1).
- aptamer_count_pubmed
- Number of PubMed hits for (this protein) AND (aptamer OR SELEX). Keyword co-occurrence — verify each (many co-mention without a real aptamer).
- aptamer_pmids
- The actual PubMed IDs behind the aptamer evidence — click each to read the paper. This is the source of the 'has aptamer' claim.
- surface_class
- PREDICTED membrane topology (HPA-derived, not a measurement): A_surface = integral/ecto cell-surface (predicted EV-surface accessible); A2_pm_peripheral = plasma-membrane cytoplasmic-leaflet (SRC/LYN/RHOA, predicted not reachable); A_assoc = secreted/corona; B_cargo = luminal cargo; unknown = no HPA localization. Lipid asymmetry can partially flip (PS via scramblase); confirm by protease-protection / intact-EV surface labelling. See v_surface_targets.
62 rows where has_cryoEM = 1, has_known_aptamer = 0 and surface_class = "unknown" sorted by evidence_priority descending
This data as json, CSV (advanced)
Suggested facets: protein_name, pdb_count_total
surface_class 1
- unknown · 62 ✖
has_structure 1
- 1 62
has_known_aptamer 1
- - · 62 ✖
has_cryoEM 1
- 1 · 62 ✖
has_activation_state_pdb_pair 1
- 0 62
| id | gene_symbol | protein_name | tier | evidence_priority ▲ | has_structure | surface_class | pdb_count_total | alphafold_mean_pLDDT | has_cryoEM | has_activation_state_pdb_pair | activation_state_pdb_active | activation_state_pdb_inactive | has_known_aptamer | aptamer_count_pubmed | aptamer_pmids | in_cev_map | opentargets_top_disease_name | opentargets_top_disease_score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q05086 | Tier 1 | 0.753 | 1 | unknown | 27 | 80.75 | 1 | 0 | 0 | 0 | 1 | Angelman syndrome | 0.8429347259838658 | |||||
| P04275 | Tier 1.5 | 0.749 | 1 | unknown | 48 | 75.5 | 1 | 0 | 0 | 0 | 1 | Von Willebrand disease | 0.8296081124598669 | |||||
| Q15858 | Tier 1 | 0.747 | 1 | unknown | 43 | 69.06 | 1 | 0 | 0 | 0 | 1 | primary erythermalgia | 0.8237835765987434 | |||||
| Q92608 | Tier 1 | 0.734 | 1 | unknown | 6 | 79.81 | 1 | 0 | 0 | 0 | 1 | DOCK2 deficiency | 0.7814025939223274 | |||||
| Q5T5Y3 | Tier 1 | 0.694 | 1 | unknown | 4 | 54.34 | 1 | 0 | 0 | 0 | 1 | cortical dysplasia, complex, with other brain malformations 12 | 0.6471266259726068 | |||||
| P43487 | Tier 1 | 0.651 | 1 | unknown | 4 | 83.38 | 1 | 0 | 0 | 0 | 1 | HIV infection | 0.5030392466541774 | |||||
| Q14213 | Tier 1 | 0.628 | 1 | unknown | 4 | 87.62 | 1 | 0 | 0 | 0 | 1 | neurodegenerative disease | 0.42776938116451996 | |||||
| F8WCM5 | Tier 1 | 0.624 | 1 | unknown | 4 | 48.81 | 1 | 0 | 0 | 0 | 1 | neurodegenerative disease | 0.4145162522265602 | |||||
| Q13131 | Tier 1 | 0.614 | 1 | unknown | 12 | 79.56 | 1 | 0 | 0 | 0 | 1 | cardiovascular disease | 0.37913864498012223 | |||||
| P07360 | Tier 1 | 0.611 | 1 | unknown | 15 | 89.75 | 1 | 0 | 0 | 0 | 1 | complement deficiency | 0.3695798546847018 | |||||
| P20339 | Tier 1 | 0.611 | 1 | unknown | 14 | 84.88 | 1 | 0 | 0 | 0 | 1 | tuberculosis | 0.3708733841760982 | |||||
| P08034 | Tier 1 | 0.604 | 1 | unknown | 15 | 80.25 | 1 | 0 | 0 | 0 | 0 | Charcot-Marie-Tooth disease X-linked dominant 1 | 0.8483281160610058 | |||||
| Q96HW7 | Tier 1 | 0.599 | 1 | unknown | 11 | 83.19 | 1 | 0 | 0 | 0 | 1 | systemic lupus erythematosus | 0.3316421846062003 | |||||
| Q8NBJ9 | Tier 1 | 0.598 | 1 | unknown | 7 | 80.25 | 1 | 0 | 0 | 0 | 1 | hypothyroidism | 0.32686531914177924 | |||||
| P23415 | Tier 1 | 0.597 | 1 | unknown | 9 | 84.0 | 1 | 0 | 0 | 0 | 0 | hereditary hyperekplexia | 0.822516157871453 | |||||
| Q96Q15 | Tier 1 | 0.593 | 1 | unknown | 10 | 76.88 | 1 | 0 | 0 | 0 | 1 | contracture | 0.30952829622581673 | |||||
| Q15061 | Tier 1 | 0.593 | 1 | unknown | 3 | 69.62 | 1 | 0 | 0 | 0 | 1 | triple-negative breast cancer | 0.31136131887350776 | |||||
| Q13422 | Tier 1 | 0.591 | 1 | unknown | 10 | 47.75 | 1 | 0 | 0 | 0 | 0 | pancytopenia due to IKZF1 mutations | 0.8043234687306351 | |||||
| P01185 | Tier 1.5 | 0.585 | 1 | unknown | 5 | 79.44 | 1 | 0 | 0 | 0 | 0 | neurohypophyseal diabetes insipidus | 0.7825664629740794 | |||||
| P48067 | SLC6A9 | Sodium- and chloride-dependent glycine transporter 1 | Tier 1 | 0.582 | 1 | unknown | 9 | 81.12 | 1 | 0 | 0 | 0 | 0 | atypical glycine encephalopathy | 0.7733051820377859 | |||
| P29973 | Tier 1 | 0.566 | 1 | unknown | 19 | 76.25 | 1 | 0 | 0 | 0 | 0 | retinitis pigmentosa | 0.7206608041231198 | |||||
| P98073 | Tier 1 | 0.563 | 1 | unknown | 14 | 81.5 | 1 | 0 | 0 | 0 | 0 | congenital enteropathy due to enteropeptidase deficiency | 0.7102613227574134 | |||||
| P07305 | Tier 1.5 | 0.562 | 1 | unknown | 16 | 68.75 | 1 | 0 | 0 | 0 | 1 | open-angle glaucoma | 0.2081722206162343 | |||||
| Q8N9N8 | Tier 1 | 0.554 | 1 | unknown | 4 | 75.69 | 1 | 0 | 0 | 0 | 1 | Nestor-Guillermo progeria syndrome | 0.17918659722662342 | |||||
| Q5SWA1 | Tier 1.5 | 0.54 | 1 | unknown | 5 | 49.03 | 1 | 0 | 0 | 0 | 0 | microcephaly, short stature, and impaired glucose metabolism 2 | 0.6334721902580683 | |||||
| O15393 | Tier 1 | 0.535 | 1 | unknown | 31 | 79.38 | 1 | 0 | 0 | 0 | 0 | COVID-19 | 0.6157541390484623 | |||||
| Q13639 | Tier 1 | 0.532 | 1 | unknown | 3 | 80.88 | 1 | 0 | 0 | 0 | 0 | schizophrenia | 0.6060830827022777 | |||||
| O43614 | Tier 1 | 0.53 | 1 | unknown | 11 | 78.94 | 1 | 0 | 0 | 0 | 0 | insomnia | 0.5988748728311054 | |||||
| O43543 | Tier 1.5 | 0.529 | 1 | unknown | 16 | 87.12 | 1 | 0 | 0 | 0 | 0 | spermatogenic failure 50 | 0.5955217891975265 | |||||
| O75616 | ERAL1 | GTPase Era, mitochondrial | Tier 1 | 0.504 | 1 | unknown | 2 | 77.94 | 1 | 0 | 0 | 0 | 0 | neurodegenerative disease | 0.5128349940245936 | |||
| Q15291 | Tier 1 | 0.5 | 1 | unknown | 27 | 77.75 | 1 | 0 | 0 | 0 | 0 | neurodegenerative disease | 0.500512770014237 | |||||
| P25025 | Tier 1 | 0.499 | 1 | unknown | 18 | 79.56 | 1 | 0 | 0 | 0 | 0 | WHIM syndrome 2 | 0.4956521666475962 | |||||
| P06307 | Tier 1 | 0.487 | 1 | unknown | 9 | 65.12 | 1 | 0 | 0 | 0 | 0 | Abnormality of the skeletal system | 0.45523854320041374 | |||||
| Q6NW34 | RMP64 | Ribonuclease MRP subunit P64 | Tier 1.5 | 0.485 | 1 | unknown | 3 | 64.0 | 1 | 0 | 0 | 0 | 0 | anauxetic dysplasia 3 | 0.44914218451265836 | |||
| Q9UNN5 | Tier 1 | 0.475 | 1 | unknown | 16 | 77.0 | 1 | 0 | 0 | 0 | 0 | atrial fibrillation | 0.41761152415302133 | |||||
| Q9NVH2 | Tier 1 | 0.465 | 1 | unknown | 8 | 88.06 | 1 | 0 | 0 | 0 | 0 | neurodegenerative disease | 0.38183943401611947 | |||||
| Q86X95 | CIRSR | Corepressor of RBPJ and splicing regulator | Tier 1 | 0.463 | 1 | unknown | 2 | 59.72 | 1 | 0 | 0 | 0 | 0 | major depressive disorder | 0.3767349972483621 | |||
| Q14416 | Tier 1 | 0.461 | 1 | unknown | 31 | 85.69 | 1 | 0 | 0 | 0 | 0 | schizophrenia | 0.36850365898315596 | |||||
| P13725 | Tier 1 | 0.446 | 1 | unknown | 3 | 78.75 | 1 | 0 | 0 | 0 | 0 | coronary artery disease | 0.3209548186332283 | |||||
| P32248 | Tier 1 | 0.445 | 1 | unknown | 7 | 78.38 | 1 | 0 | 0 | 0 | 0 | neurodegenerative disease | 0.31793347108990094 | |||||
| Q03188 | Tier 1 | 0.437 | 1 | unknown | 14 | 48.03 | 1 | 0 | 0 | 0 | 0 | pernicious anemia | 0.28985906769534225 | |||||
| Q32NC0 | RMP24 | Ribonuclease MRP protein subunit p24 | Tier 1.5 | 0.43 | 1 | unknown | 3 | 74.06 | 1 | 0 | 0 | 0 | 0 | connective tissue disease | 0.2652381012117321 | |||
| Q9NY61 | Tier 1.5 | 0.424 | 1 | unknown | 3 | 64.81 | 1 | 0 | 0 | 0 | 0 | skin neoplasm | 0.24706398094697377 | |||||
| P02778 | Tier 1 | 0.387 | 1 | unknown | 6 | 89.56 | 1 | 0 | 0 | 0 | 0 | rheumatoid arthritis | 0.1225158134105281 | |||||
| A8MTA8 | CIMIP2B | Ciliary microtubule inner protein 2B | Tier 1 | 0.383 | 1 | unknown | 2 | 68.75 | 1 | 0 | 0 | 0 | 0 | Meckel syndrome | 0.11087395640541053 | |||
| P49842 | WHR1 | Winged helix repair factor 1 | Tier 1.5 | 0.361 | 1 | unknown | 5 | 87.44 | 1 | 0 | 0 | 0 | 0 | melanoma | 0.036990092138582946 | |||
| A0A5C2GQT9 | Tier 1 | 0.35 | 1 | unknown | 5 | 96.38 | 1 | 0 | 0 | 0 | 0 | |||||||
| P0DOX7 | Immunoglobulin kappa light chain | Tier 1 | 0.35 | 1 | unknown | 14 | 96.19 | 1 | 0 | 0 | 0 | 0 | ||||||
| P23724 | PRE7 | Proteasome subunit beta type-6 | Tier 1 | 0.35 | 1 | unknown | 30 | 94.62 | 1 | 0 | 0 | 0 | 0 | |||||
| P25043 | PUP1 | Proteasome subunit beta type-2 | Tier 1 | 0.35 | 1 | unknown | 30 | 93.62 | 1 | 0 | 0 | 0 | 0 |
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CREATE VIEW v_targets AS
SELECT f.id, n.gene_symbol, n.protein_name, tg.tier,
-- evidence_priority: DETERMINISTIC, reproducible from real DB columns (no LLM).
-- Transparent weights over harvested evidence: structure 0.35, disease importance
-- 0.30 (Open Targets top-disease score), PREDICTED surface accessibility 0.20,
-- EV detection 0.15. A heuristic ranking aid, not a validation; surface/EV terms
-- are predictions/detections, NOT measured EV-surface exposure.
ROUND(
0.35*(CASE WHEN CAST(COALESCE(f.pdb_count_total,'0') AS INTEGER)>0 THEN 1.0
WHEN CAST(COALESCE(NULLIF(f.alphafold_mean_pLDDT,''),'0') AS REAL)>0 THEN 0.3 ELSE 0.0 END)
+ 0.30*MIN(CAST(COALESCE(NULLIF(f.opentargets_top_disease_score,''),'0') AS REAL), 1.0)
+ 0.20*(CASE sc.surface_class WHEN 'A_surface' THEN 1.0 WHEN 'A_assoc' THEN 0.5 WHEN 'A2_pm_peripheral' THEN 0.2 ELSE 0.0 END)
+ 0.15*(CASE WHEN CAST(COALESCE(f.in_cev_map,0) AS INTEGER)=1 THEN 1.0 ELSE 0.0 END)
, 3) AS evidence_priority,
(CASE WHEN CAST(COALESCE(f.pdb_count_total,'0') AS INTEGER)>0 THEN 1 ELSE 0 END) AS has_structure,
sc.surface_class,
f.pdb_count_total, f.alphafold_mean_pLDDT, f.has_cryoEM,
f.has_activation_state_pdb_pair, f.activation_state_pdb_active, f.activation_state_pdb_inactive,
f.has_known_aptamer, f.aptamer_count_pubmed, ap.aptamer_pmids,
f.in_cev_map, f.opentargets_top_disease_name, f.opentargets_top_disease_score
FROM v_target_full f
LEFT JOIN target_names n ON n.target_id=f.id
LEFT JOIN targets tg ON tg.id=f.id
LEFT JOIN target_aptamer_pmids ap ON ap.target_id=f.id
LEFT JOIN membrane_surface_class sc ON sc.target_id=f.id;