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.
291 rows where has_known_aptamer = 0, in_cev_map = 1 and surface_class = "unknown" sorted by evidence_priority descending
This data as json, CSV (advanced)
Suggested facets: pdb_count_total
surface_class 1
- unknown · 291 ✖
in_cev_map 1
- 1 · 291 ✖
has_known_aptamer 1
- - · 291 ✖
has_activation_state_pdb_pair 1
- 0 291
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| P10721 | Tier 1 | 0.768 | 1 | unknown | 52 | 78.19 | 0 | 0 | 0 | 0 | 1 | gastrointestinal stromal tumor | 0.8922566232622926 | |||||
| Q07889 | Tier 1 | 0.761 | 1 | unknown | 91 | 76.38 | 0 | 0 | 0 | 0 | 1 | Noonan syndrome | 0.8708318719184144 | |||||
| P06865 | Tier 1.5 | 0.759 | 1 | unknown | 2 | 93.44 | 0 | 0 | 0 | 0 | 1 | Tay-Sachs disease | 0.8629597356732491 | |||||
| Q05086 | Tier 1 | 0.753 | 1 | unknown | 27 | 80.75 | 1 | 0 | 0 | 0 | 1 | Angelman syndrome | 0.8429347259838658 | |||||
| P06400 | Tier 1 | 0.752 | 1 | unknown | 19 | 76.06 | 0 | 0 | 0 | 0 | 1 | retinoblastoma | 0.8408754966665243 | |||||
| P04275 | Tier 1.5 | 0.749 | 1 | unknown | 48 | 75.5 | 1 | 0 | 0 | 0 | 1 | Von Willebrand disease | 0.8296081124598669 | |||||
| P56589 | Tier 1.5 | 0.749 | 1 | unknown | 2 | 88.88 | 0 | 0 | 0 | 0 | 1 | Zellweger syndrome | 0.8285793075049609 | |||||
| P52732 | Tier 1 | 0.747 | 1 | unknown | 62 | 74.38 | 0 | 0 | 0 | 0 | 1 | microcephaly with or without chorioretinopathy, lymphedema, or intellectual disability | 0.8220137873148912 | |||||
| Q15858 | Tier 1 | 0.747 | 1 | unknown | 43 | 69.06 | 1 | 0 | 0 | 0 | 1 | primary erythermalgia | 0.8237835765987434 | |||||
| Q9NP72 | Tier 1 | 0.745 | 1 | unknown | 1 | 85.56 | 0 | 0 | 0 | 0 | 1 | Micro syndrome | 0.816071079017092 | |||||
| Q04771 | Tier 1 | 0.745 | 1 | unknown | 85 | 83.12 | 0 | 0 | 0 | 0 | 1 | fibrodysplasia ossificans progressiva | 0.8164474171712364 | |||||
| P35222 | Tier 1 | 0.743 | 1 | unknown | 50 | 81.06 | 0 | 0 | 0 | 0 | 1 | severe intellectual disability-progressive spastic diplegia syndrome | 0.8101632011131414 | |||||
| P02751 | Tier 1 | 0.74 | 1 | unknown | 69 | 69.62 | 0 | 0 | 0 | 0 | 1 | spondylometaphyseal dysplasia, 'corner fracture' type | 0.8013288836166759 | |||||
| Q92608 | Tier 1 | 0.734 | 1 | unknown | 6 | 79.81 | 1 | 0 | 0 | 0 | 1 | DOCK2 deficiency | 0.7814025939223274 | |||||
| O43318 | Tier 1 | 0.73 | 1 | unknown | 25 | 69.0 | 0 | 0 | 0 | 0 | 1 | frontometaphyseal dysplasia 2 | 0.767839253516465 | |||||
| P84243 | Tier 1 | 0.719 | 1 | unknown | 100 | 85.94 | 0 | 0 | 0 | 0 | 1 | Bryant-Li-Bhoj neurodevelopmental syndrome 2 | 0.7290694534626342 | |||||
| Q8TD19 | Tier 1 | 0.714 | 1 | unknown | 2 | 73.94 | 0 | 0 | 0 | 0 | 1 | NEK9-related lethal skeletal dysplasia | 0.7132294892240114 | |||||
| Q9H6S3 | Tier 1 | 0.705 | 1 | unknown | 2 | 73.06 | 0 | 0 | 0 | 0 | 1 | hearing loss, autosomal recessive | 0.6818863306678549 | |||||
| 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 | |||||
| P17948 | Tier 1 | 0.685 | 1 | unknown | 12 | 72.62 | 0 | 0 | 0 | 0 | 1 | neoplasm | 0.6169964471592176 | |||||
| P55210 | Tier 1 | 0.684 | 1 | unknown | 47 | 81.69 | 0 | 0 | 0 | 0 | 1 | cataract | 0.6121422420887519 | |||||
| P01861 | Tier 1 | 0.676 | 1 | unknown | 15 | 86.75 | 0 | 0 | 0 | 0 | 1 | cutaneous Leishmaniasis | 0.5868213846274001 | |||||
| P27694 | Tier 1 | 0.672 | 1 | unknown | 48 | 83.81 | 0 | 0 | 0 | 0 | 1 | pulmonary fibrosis and/or bone marrow failure, telomere-related, 6 | 0.5720870296163543 | |||||
| Q96PU8 | Tier 1 | 0.668 | 1 | unknown | 1 | 68.69 | 0 | 0 | 0 | 0 | 1 | cancer | 0.5616375835401949 | |||||
| P45985 | Tier 1 | 0.665 | 1 | unknown | 4 | 77.0 | 0 | 0 | 0 | 0 | 1 | neurodegenerative disease | 0.5507437937196141 | |||||
| P17676 | Tier 1 | 0.661 | 1 | unknown | 16 | 59.69 | 0 | 0 | 0 | 0 | 1 | neurodegenerative disease | 0.5352429213193124 | |||||
| O14618 | Tier 1 | 0.658 | 1 | unknown | 7 | 87.38 | 0 | 0 | 0 | 0 | 1 | neurodegenerative disease | 0.5272415940824882 | |||||
| P54764 | Tier 1 | 0.656 | 1 | unknown | 17 | 83.5 | 0 | 0 | 0 | 0 | 1 | medullary thyroid gland carcinoma | 0.5195314334008982 | |||||
| P30419 | Tier 1 | 0.655 | 1 | unknown | 52 | 83.25 | 0 | 0 | 0 | 0 | 1 | neurodegenerative disease | 0.5174483590720084 | |||||
| Q8N1W1 | Tier 1 | 0.654 | 1 | unknown | 2 | 61.56 | 0 | 0 | 0 | 0 | 1 | hearing loss | 0.5135177841424435 | |||||
| P43487 | Tier 1 | 0.651 | 1 | unknown | 4 | 83.38 | 1 | 0 | 0 | 0 | 1 | HIV infection | 0.5030392466541774 | |||||
| Q16611 | Tier 1 | 0.639 | 1 | unknown | 55 | 81.31 | 0 | 0 | 0 | 0 | 1 | chronic lymphocytic leukemia | 0.46377569349166126 | |||||
| Q13432 | Tier 1 | 0.634 | 1 | unknown | 9 | 77.88 | 0 | 0 | 0 | 0 | 1 | idiopathic CD4 lymphocytopenia | 0.4456292509980772 | |||||
| Q9BXB4 | Tier 1 | 0.633 | 1 | unknown | 1 | 74.06 | 0 | 0 | 0 | 0 | 1 | neurodegenerative disease | 0.4435303946057042 | |||||
| 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 | |||||
| P57735 | Tier 1 | 0.621 | 1 | unknown | 2 | 86.62 | 0 | 0 | 0 | 0 | 1 | atrial fibrillation | 0.40258191116027553 | |||||
| P09603 | Tier 1.5 | 0.618 | 1 | unknown | 8 | 57.41 | 0 | 0 | 0 | 0 | 1 | type 2 diabetes mellitus | 0.39219340856589974 | |||||
| Q13131 | Tier 1 | 0.614 | 1 | unknown | 12 | 79.56 | 1 | 0 | 0 | 0 | 1 | cardiovascular disease | 0.37913864498012223 | |||||
| O75365 | Tier 1.5 | 0.612 | 1 | unknown | 4 | 86.88 | 0 | 0 | 0 | 0 | 1 | hypertension | 0.3732487322932303 | |||||
| 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 | |||||
| Q96HW7 | Tier 1 | 0.599 | 1 | unknown | 11 | 83.19 | 1 | 0 | 0 | 0 | 1 | systemic lupus erythematosus | 0.3316421846062003 | |||||
| Q8IYB1 | Tier 1 | 0.598 | 1 | unknown | 1 | 83.56 | 0 | 0 | 0 | 0 | 1 | Hashimoto's thyroiditis | 0.32654837821466426 | |||||
| Q8NBJ9 | Tier 1 | 0.598 | 1 | unknown | 7 | 80.25 | 1 | 0 | 0 | 0 | 1 | hypothyroidism | 0.32686531914177924 | |||||
| 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 | |||||
| Q9UMX3 | Tier 1 | 0.592 | 1 | unknown | 1 | 83.5 | 0 | 0 | 0 | 0 | 1 | osteoarthritis, knee | 0.3060308474018532 | |||||
| Q9Y4K1 | Tier 1 | 0.592 | 1 | unknown | 3 | 48.94 | 0 | 0 | 0 | 0 | 1 | psoriasis | 0.3053444558877832 | |||||
| P16333 | Tier 1 | 0.589 | 1 | unknown | 15 | 70.75 | 0 | 0 | 0 | 0 | 1 | Abnormality of the skeletal system | 0.2961979178331516 |
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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;