SCHEMBL350266

SCHEMBL350266

O=C(O)C1(c2ccc(O)cc2)CC1

nearest known ligand 0.58

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
APP P05067 3/20 0.58
CYP2C19 P33261 3/20 0.58
CYP2C9 P11712 2/20 0.58
CYP2D6 P10635 1/20 0.58
AKR1C1 Q04828 4/20 0.57
CYP3A4 P08684 2/20 0.57
ESR1 P03372 2/20 0.46
ESR2 Q92731 2/20 0.46
KMT2A Q03164 4/20 0.45
MEN1 O00255 1/20 0.45
TSHR P16473 1/20 0.45
AKR1C3 P42330 3/20 0.42
AKR1C2 P52895 3/20 0.42
TET3 O43151 2/20 0.42
FBXL19 Q6PCT2 2/20 0.42
CXXC5 Q7LFL8 2/20 0.42
KDM2B Q8NHM5 2/20 0.42
CXXC4 Q9H2H0 2/20 0.42
KDM2A Q9Y2K7 2/20 0.42
TET1 Q8NFU7 1/20 0.42

Click a target to see other patent compounds predicted against it — the reverse direction, in place.

Similar compounds — the chemically nearest patent molecules

Nearest neighbours by Morgan-fingerprint cosine across the patent-compound collection, with each neighbour's top predicted target and the predicted targets it shares with this molecule.

Compoundsimilaritytop predictedshared targets
SCHEMBL9023593 0.91 AKR1C1 (0.70) APPCYP2C19CYP2C9CYP2D6AKR1C1
SCHEMBL21101816 0.90 APP (0.55) APPCYP2C19CYP2C9CYP2D6AKR1C1
SCHEMBL1128270 0.90 AKR1C1 (0.68) APPCYP2C19CYP2C9CYP2D6AKR1C1
Phenol SCHEMBL28560131 0.87 AKR1C1 (0.70) APPCYP2C19CYP2C9CYP2D6AKR1C1
SCHEMBL1335906 0.84 ESR2 (0.48) APPCYP2C19CYP2C9CYP2D6AKR1C1
SCHEMBL31016196 0.81 AKR1C1 (0.83) CYP2C19AKR1C1KMT2AMEN1TET3
SCHEMBL6391 0.81 AKR1C1 (0.83) CYP2C19AKR1C1KMT2AMEN1TET3
SCHEMBL518528 0.80 ESR2 (0.45) APPCYP2C19CYP2C9CYP2D6AKR1C1
SCHEMBL19264980 0.80 ESR2 (0.45) APPCYP2C19CYP2C9CYP2D6AKR1C1
SCHEMBL12120029 0.80 ESR2 (0.45) APPCYP2C19CYP2C9CYP2D6AKR1C1

Similarity is cosine over the 2,048-bit Morgan fingerprint (≈ Tanimoto). Identical fingerprints score 1.00.

Patent provenance — the patents this molecule appears in, and who filed them

Claimed or disclosed in 77 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
CN-109880247-B Polystyrene electronic carrier tape material containing ultra-dispersed carbon nanotubes and preparation method thereof 邹晗 2022-08-19 CN claimed
CN-109880247-A A kind of polystyrene electronic carrier tape material and preparation method thereof containing ultra-dispersed carbon nanotube 华研(佛山)纳米材料有限公司 2019-06-14 CN claimed
CN-109880090-A The polyimides Heat Conduction Material of a kind of containing graphene and carbon nanotube, heat conducting film and preparation method thereof 华研(佛山)纳米材料有限公司 2019-06-14 CN claimed
CN-109880207-A A kind of anti-static polyolefin oil pipeline material and preparation method thereof containing ultra-dispersed carbon nanotube 华研(佛山)纳米材料有限公司 2019-06-14 CN claimed
CN-109825069-A A kind of Antistatic Nylon material and its application on new-energy automobile component 华研(佛山)纳米材料有限公司 2019-05-31 CN claimed
WO-2025050125-A1 SUBSTITUTED BENZOXAZOLYLAMINO BENZOXAZOLES IMMVENTION THERAPEUTIX (US) 2025-03-06 WO disclosed
CN-109880247-B Polystyrene electronic carrier tape material containing ultra-dispersed carbon nanotubes and preparation method thereof 邹晗 2022-08-19 CN disclosed
CN-109880247-B Polystyrene electronic carrier tape material containing ultra-dispersed carbon nanotubes and preparation method thereof 邹晗 2022-08-19 CN disclosed
CN-109880247-A A kind of polystyrene electronic carrier tape material and preparation method thereof containing ultra-dispersed carbon nanotube 华研(佛山)纳米材料有限公司 2019-06-14 CN disclosed
CN-109880247-A A kind of polystyrene electronic carrier tape material and preparation method thereof containing ultra-dispersed carbon nanotube 华研(佛山)纳米材料有限公司 2019-06-14 CN disclosed
CN-109880207-A A kind of anti-static polyolefin oil pipeline material and preparation method thereof containing ultra-dispersed carbon nanotube 华研(佛山)纳米材料有限公司 2019-06-14 CN disclosed
CN-109880090-A The polyimides Heat Conduction Material of a kind of containing graphene and carbon nanotube, heat conducting film and preparation method thereof 华研(佛山)纳米材料有限公司 2019-06-14 CN disclosed
US-7223788-B2 therapy for eating disorders, anorexigenic agents, antidiabetic agents, reducing weight in mammals, circadian rhythm disease, psychological disorders SANOFI-AVENTIS DEUTSCHLAND GMBH (DE) 2007-05-29 US disclosed
EP-1756063-A1 AMIDO COMPOUNDS AND THEIR USE AS PHARMACEUTICALS Incyte Corporation (US) 2007-02-28 EP disclosed
WO-2006044133-A1 ACTIVE KETONE INHIBITORS OF TRYPTASE AXYS PHARMACEUTICALS, INC. (US) 2006-04-27 WO disclosed
US-20050282858-A1 Amido compounds and their use as pharmaceuticals INCYTE CORPORATION 2005-12-22 US disclosed
WO-2005110992-A1 AMIDO COMPOUNDS AND THEIR USE AS PHARMACEUTICALS INCYTE CORPORATION (US) 2005-11-24 WO disclosed
EP-1597228-A2 SUBSTITUTED N-ARYLHETEROCYCLES, METHOD FOR PRODUCTION AND USE THEREOF AS MEDICAMENTS Sanofi-Aventis Deutschland GmbH (DE) 2005-11-23 EP disclosed
US-20040220191-A1 Substituted N-aryl heterocycles, process for their preparation and their use as medicaments AVENTIS PHARMA DEUTSCHLAND GMBH (DE) 2004-11-04 US disclosed
WO-2004072025-A2 SUBSTITUTED N-ARYLHETEROCYCLES, METHOD FOR PRODUCTION AND USE THEREOF AS MEDICAMENTS AVENTIS PHARMA DEUTSCHLAND GMBH (DE) 2004-08-26 WO disclosed

Patent text — is the patent's own abstract consistent with the prediction?

For each of this compound's patents that has machine-readable text (2 of them — usually the abstract, not the full specification), we ask MedCPT which protein the text reads most about, and where the chemistry-predicted target lands among 4885 human targets. A high rank means the patent's own wording is consistent with the prediction — a weak, independent signal, not proof of activity.

PatentTitleText reads most aboutPredicted target · text-rank
US-20040220191-A1 Substituted N-aryl heterocycles, process for their preparation and their use as medicaments CYP11B2, CYP11B1, CYP1A1 APP 4124/4885CYP2C19 6/4885CYP2C9 16/4885
US-20050282858-A1 Amido compounds and their use as pharmaceuticals HSD11B1, CYP11B1, HSD11B2 APP 1198/4885CYP2C19 194/4885CYP2C9 375/4885

“Text reads most about” is the patent abstract's nearest protein in MedCPT space (background-debiased). Only ~1.4% of patents have machine-readable text, so most compounds won't have this panel.