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One row per human protein target with names + key evidence. Click column headers to SORT; use the facets to FILTER (tier, activation pair, known aptamer, EV-Map). UniProt IDs link to the source. Default sort is evidence_priority — a DETERMINISTIC, reproducible score computed from harvested evidence (structure / disease / predicted-surface / EV-detection). Filter has_structure=1 for the core set: targets with a reported 3D structure (the requirement the Kd layer is built around).

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.

175 rows where has_cryoEM = 1, has_known_aptamer = 1 and in_cev_map = 0 sorted by evidence_priority descending

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surface_class 5

  • B_cargo 67
  • A_surface 60
  • A_assoc 40
  • A2_pm_peripheral 6
  • unknown 2

tier 2

  • Tier 1 125
  • Tier 1.5 50

in_cev_map 1

  • - · 175 ✖

has_structure 1

  • 1 175

has_known_aptamer 1

  • 1 · 175 ✖

has_cryoEM 1

  • 1 · 175 ✖

has_activation_state_pdb_pair 1

  • 0 175
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
P13569 CFTR Cystic fibrosis transmembrane conductance regulator Tier 1 0.824 1 A_surface 58 75.62 1 0     1 10 41148207, 31029337, 30595527, 22483890, 15657417 0 cystic fibrosis 0.9133535862571094
P07949 RET Proto-oncogene tyrosine-protein kinase receptor Ret Tier 1 0.809 1 A_surface 34 78.81 1 0     1 83 41962371, 41744190, 41636718, 41526122, 41406741, 41171123, 41082837, 41060784, 41027166, 40932619, 40815127, 40711581, 40633058, 40602121, 40410423, 40285964, 40252505, 40222299, 39344894, 39288589, 39190775, 38953438, 38876068, 38852325, 38718747, 38604287, 38354543, 38282384, 38237282, 37851382, 37774402, 37757695, 37437453, 37245460, 36952259, 36315022, 35550937, 35420408, 34342436, 34132907, 34016094, 33513536, 33462661, 33119785, 33011620, 32760976, 32527800, 32212604, 32138930, 31897454 0 medullary thyroid gland carcinoma 0.8617460262224842
Q12809 KCNH2 Voltage-gated inwardly rectifying potassium channel KCNH2 Tier 1 0.806 1 A_surface 23 62.75 1 0     1 1 22617876 0 Romano-Ward syndrome 0.8549238933917284
P31785 IL2RG Cytokine receptor common subunit gamma Tier 1.5 0.804 1 A_surface 14 75.5 1 0     1 2 30800133, 33869115 0 gamma chain deficiency 0.8469997000418428
P08100 RHO Rhodopsin Tier 1.5 0.804 1 A_surface 4 88.75 1 0     1 45 41963275, 41924874, 41636061, 40808302, 40642289, 40330320, 40045571, 39863313, 39788632, 38070612, 37191882, 36705086, 36696850, 36095194, 36049339, 35622174, 34709779, 34471566, 32696702, 32479610, 32319623, 32119944, 31737572, 31588238, 31535128, 29570714, 29281176, 28648779, 27893356, 25645980, 23757206, 23701883, 25033804, 22689339, 22302221, 22121695, 19766091, 19389625, 16419035, 12123800, 8743323, 7678562, 19188685, 18230760 0 retinitis pigmentosa 0.8481942240861982
P07911 UMOD Uromodulin Tier 1 0.803 1 A_surface 10 82.94 1 0     1 4 37533140, 35446786 0 familial juvenile hyperuricemic nephropathy type 1 0.8446536377993564
O95342 ABCB11 Bile salt export pump Tier 1.5 0.801 1 A_surface 8 83.12 1 0     1 1 36313979 0 progressive familial intrahepatic cholestasis type 2 0.8372060401943777
P16473 TSHR Thyrotropin receptor Tier 1 0.8 1 A_surface 9 74.0 1 0     1 6 41054857, 40997970, 40588369, 38650837 0 hypothyroidism due to TSH receptor mutations 0.8327127196409464
Q92736 RYR2 Ryanodine receptor 2 Tier 1 0.8 1 A_surface 26   1 0     1 1 24130701 0 catecholaminergic polymorphic ventricular tachycardia 1 0.8338648743498255
Q9ULV1 FZD4 Frizzled-4 Tier 1 0.795 1 A_surface 11 84.31 1 0     1 1 18673242 0 Familial exudative vitreoretinopathy 0.8152111103672746
Q13651 IL10RA Interleukin-10 receptor subunit alpha Tier 1 0.795 1 A_surface 7 62.0 1 0     1 2 25870409, 25558474 0 Autosomal recessive early-onset inflammatory bowel disease 0.8151052076044897
P43220 GLP1R Glucagon-like peptide 1 receptor Tier 1 0.78 1 A_surface 70 81.5 1 0     1 2 40691365, 30957581 0 type 2 diabetes mellitus 0.7667004144705459
P51654 GPC3 Glypican-3 Tier 1.5 0.779 1 A_surface 4 75.06 1 0     1 65 42083729, 41790019, 41653459, 41045695, 40825648, 40722645, 39998646, 39874791, 39608318, 39427046, 38910291, 38787447, 38621313, 38368644, 37665421, 36903516, 36457288, 36317566, 36072763, 35788872, 35699181, 35477501, 35051745, 34974867, 34306031, 33254049, 33080969, 32356075, 30347351, 30122918, 29675356, 29605994, 29277631, 27601357, 28263753 0 Simpson-Golabi-Behmel syndrome type 1 0.762708583613362
P20023 CR2 Complement receptor type 2 Tier 1.5 0.776 1 A_surface 9 74.94 1 0     1 1 33235290 0 immunodeficiency, common variable, 7 0.7543125403898414
P04035 HMGCR 3-hydroxy-3-methylglutaryl-coenzyme A reductase Tier 1 0.774 1 A_surface 24 75.31 1 0     1 1 36470581 0 Hypercholesterolemia 0.7460937406970991
P51681 CCR5 C-C chemokine receptor type 5 Tier 1 0.773 1 A_surface 25 85.38 1 0     1 23 36576612, 33981364, 29678881, 29556342, 29301363, 27807347, 27652575, 26965267, 25794434, 25754473, 25329893, 23629001, 22811524, 21576818, 18799178, 16631118, 16227301, 15813986, 14610191, 12498773 0 HIV infection 0.7442590579227027
P21860 ERBB3 Receptor tyrosine-protein kinase erbB-3 Tier 1 0.77 1 A_surface 23 72.44 1 0     1 9 40851486, 33770580, 33039492, 31846731, 31626948, 29440899, 23990977, 22733765, 18942860 0 visceral neuropathy, familial, 1, autosomal recessive 0.7335342096528644
P08887 IL6R Interleukin-6 receptor subunit alpha Tier 1.5 0.768 1 A_surface 10 77.88 1 0     1 18 40853309, 38152968, 37034659, 36579647, 35890412, 33590853, 33340765, 32515246, 29211023, 28929152, 26552813, 26383776, 24481022, 24440854, 23235494, 22503683, 22258147, 22094809 0 rheumatoid arthritis 0.7269057706798291
Q00975 CACNA1B Voltage-dependent N-type calcium channel subunit alpha-1B Tier 1.5 0.767 1 A_surface 7 59.91 1 0     1 2 31118475, 25782368 0 Seizure 0.7217241968702018
P47871 GCGR Glucagon receptor Tier 1 0.766 1 A_surface 27 81.88 1 0     1 5 28775305, 23770039, 23744070 0 GCGR-related hyperglucagonemia 0.7213152740071143
P40225 THPO Thrombopoietin Tier 1 0.761 1 A_surface 3 61.44 1 0     1 2 38928037, 30312735 0 thrombocythemia 1 0.7027329039559379
Q9BYF1 ACE2 Angiotensin-converting enzyme 2 Tier 1 0.758 1 A_surface 100 90.69 1 0     1 91 41716474, 41541792, 41274248, 40642289, 40333723, 40321580, 40227272, 39964138, 39923730, 39281706, 38973558, 38553521, 37932762, 37808754, 37692001, 37666993, 37385465, 37375202, 36950312, 36822303, 36714461, 36683236, 36581924, 36073793, 35972202, 35910791, 35907639, 35542182, 34876524, 34855379, 34847324, 34798263, 34696413, 34619249, 34458322, 34282416, 34248841, 34230708, 34230707, 34166652, 34123223, 33684258, 33683787, 33629859, 33561300, 33389440, 32981365, 32838280, 32551560, 36288301, 36170362, 35748608, 34953639 0 COVID-19 0.6925739512122528
P15391 CD19 B-lymphocyte antigen CD19 Tier 1.5 0.755 1 A_surface 4 62.22 1 0     1 13 41079126, 40652441, 38661725, 38148412, 36095289, 35829681, 34680368, 34364920, 32401486, 31912987, 29928472, 21127492 0 immunodeficiency, common variable, 3 0.6821072538733047
Q96RJ3 TNFRSF13C Tumor necrosis factor receptor superfamily member 13C Tier 1.5 0.748 1 A_surface 8 63.03 1 0     1 1 23470998 0 immunodeficiency, common variable, 4 0.660711678987284
P21554 CNR1 Cannabinoid receptor 1 Tier 1 0.741 1 A_surface 32 71.69 1 0     1 1 19231809 0 obesity 0.6357831368051927
Q8NER1 TRPV1 Transient receptor potential cation channel subfamily V member 1 Tier 1.5 0.738 1 A_surface 8 71.94 1 0     1 2 40855286, 28604222 0 migraine disorder 0.6269329225883602
P04233 CD74 HLA class II histocompatibility antigen gamma chain Tier 1 0.737 1 A_surface 24 69.94 1 0     1 1 30899255 0 non-small cell lung carcinoma 0.6217636836935354
P42658 DPP6 A-type potassium channel modulatory protein DPP6 Tier 1.5 0.737 1 A_surface 8 86.69 1 0     1 1 41313574 0 Autosomal dominant microcephaly 0.6225938492787458
P33681 CD80 T-lymphocyte activation antigen CD80 Tier 1 0.735 1 A_surface 6 86.12 1 0     1 6 38473398, 37816286, 33742062, 33716989, 30417194, 30339905 0 rheumatoid arthritis 0.618273953289983
P42081 CD86 T-lymphocyte activation antigen CD86 Tier 1 0.735 1 A_surface 7 80.06 1 0     1 1 38473398 0 rheumatoid arthritis 0.615301066307767
P35070 BTC Probetacellulin Tier 1 0.724 1 A_surface 4 71.94 1 0     1 9 41627846, 41221651, 41168434, 40386592, 40259434, 38091146, 35852630, 35709524, 30869726 0 cancer 0.5807172419981024
P18627 LAG3 Lymphocyte activation gene 3 protein Tier 1.5 0.72 1 A_surface 6 78.38 1 0     1 6 40761795, 38158454, 36603108, 28934318 0 melanoma 0.5672649687930189
Q9UEF7 KL Klotho Tier 1 0.718 1 A_surface 6 89.06 1 0     1 19 41978019, 41851110, 41038766, 40370992, 39975897, 39909827, 38500260, 38233588, 37584531, 36891771, 36535944, 35770801, 35360393, 34375633, 33536505, 31511614, 25325398, 18569791, 40514411 0 type 2 diabetes mellitus 0.5587488336100863
P15309 ACP3 Prostatic acid phosphatase Tier 1 0.716 1 A_surface 17 92.25 1 0     1 3 41890985, 25591398 0 prostate cancer 0.5521391557206573
Q9NP91 SLC6A20 Sodium- and chloride-dependent transporter XTRP3 Tier 1 0.712 1 A_surface 10 93.12 1 0     1 1 35212764 0 COVID-19 0.5415298766216101
P55259 GP2 Pancreatic secretory granule membrane major glycoprotein GP2 Tier 1.5 0.707 1 A_surface 4 78.62 1 0     1 3 36902059, 25483705, 24334484 0 type 2 diabetes mellitus 0.5235291484788168
Q00604 NDP Norrin Tier 1.5 0.707 1 A_assoc 11 83.56 1 0     1 2 39057719, 11352723 0 Norrie disease 0.8566451682188412
O00206 TLR4 Toll-like receptor 4 Tier 1 0.702 1 A_surface 15 89.19 1 0     1 32 41864915, 41444487, 40521190, 39897575, 38931862, 38742374, 38280803, 37360693, 36916435, 36908619, 35410404, 35402075, 35189346, 34831332, 32784904, 29910175, 29250957, 25483705 0 major depressive disorder 0.5065500149392951
P21730 C5AR1 C5a anaphylatoxin chemotactic receptor 1 Tier 1 0.702 1 A_surface 19 85.75 1 0     1 5 33495506, 29981048, 29327939, 28288993, 25901944 0 anti-neutrophil cytoplasmic antibody-associated vasculitis 0.5076734733894334
P25106 ACKR3 Atypical chemokine receptor 3 Tier 1.5 0.7 1 A_surface 14 82.44 1 0     1 2 40401615, 28670693 0 oculomotor-abducens synkinesis 0.49893280382434735
P46094 XCR1 Chemokine XC receptor 1 Tier 1.5 0.688 1 A_surface 1 84.94 1 0     1 1 35212764 0 COVID-19 0.459103766220463
P03971 AMH Anti-Muellerian hormone Tier 1.5 0.685 1 A_assoc 3 68.62 1 0     1 2 41101154, 27364573 0 persistent Mullerian duct syndrome 0.7847328444470535
P41231 P2RY2 P2Y purinoceptor 2 Tier 1.5 0.681 1 A_surface 3 78.88 1 0     1 1 33911033 0 nontoxic goiter 0.43556889579550895
P05019 IGF1 Insulin-like growth factor 1 Tier 1 0.68 1 A_assoc 32 59.53 1 0     1 23 38384162, 35859339, 35591468, 33977395, 33467925, 32511241, 31930684, 26245346, 24832383, 23933187, 23373648, 16019422, 41283885, 39263947, 38497478, 33888746, 15231297 0 growth delay due to insulin-like growth factor type 1 deficiency 0.7650418939376437
Q9GZV9 FGF23 Fibroblast growth factor 23 Tier 1 0.679 1 A_assoc 6 76.62 1 0     1 11 39007037, 38079395, 35415885, 32065590, 30297602, 30197987, 41226313, 36705086 0 autosomal dominant hypophosphatemic rickets 0.762326334964193
P32239 CCKBR Gastrin/cholecystokinin type B receptor Tier 1.5 0.678 1 A_surface 5 75.75 1 0     1 2 33776434, 27754762 0 gastroesophageal reflux disease 0.4256110167566802
P04201 MAS1 Proto-oncogene Mas Tier 1.5 0.671 1 A_surface 3 83.5 1 0     1 10 40518278, 34016094, 30415442, 27936442, 23618401 0 Abnormality of the skeletal system 0.40450059258174326
P41146 OPRL1 Nociceptin receptor Tier 1.5 0.671 1 A_surface 4 82.31 1 0     1 1 14970396 0 neurodegenerative disease 0.4039002828932129
P49238 CX3CR1 CX3C chemokine receptor 1 Tier 1.5 0.67 1 A_surface 2 80.5 1 0     1 2 28727998 0 age-related macular degeneration 0.4006854573775187
P35225 IL13 Interleukin-13 Tier 1 0.669 1 A_assoc 13 85.62 1 0     1 9 41463156, 35356877, 33742062, 32784904, 27640094, 29949702, 21793788 0 atopic eczema 0.7297489019498119

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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;
Powered by Datasette · Queries took 388.257ms · 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