SCHEMBL14417727

SCHEMBL14417727

C=C1CCCc2c1ccc1c2C(=O)C(=O)c2c(C)coc2-1

nearest known ligand 0.60

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ EED O75530 6/20 0.60
▸ SUZ12 Q15022 6/20 0.60
▸ EZH2 Q15910 6/20 0.60
▸ HIF1A Q16665 3/20 0.60
▸ EPAS1 Q99814 3/20 0.60
▸ CES2 O00748 2/20 0.60
▸ POLB P06746 2/20 0.60
▸ MAPT P10636 2/20 0.60
▸ CES1 P23141 2/20 0.60
▸ PTPN6 P29350 2/20 0.60
▸ PTPN11 Q06124 2/20 0.60
▸ NSD1 Q96L73 2/20 0.60
▸ TDP1 Q9NUW8 2/20 0.60
▸ KDM4E B2RXH2 1/20 0.60
▸ MEN1 O00255 1/20 0.60
▸ APAF1 O14727 1/20 0.60
▸ TERT O14746 1/20 0.60
▸ ALDH1A1 P00352 1/20 0.60
▸ LMNA P02545 1/20 0.60
▸ TP53 P04637 1/20 0.60

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
SCHEMBL28735995 0.91 EED (0.51) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL29620616 0.91 EED (0.51) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL29754427 0.91 EED (0.51) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL29365561 0.91 EED (0.51) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL16152317 0.86 EED (0.62) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL16023774 0.80 EED (0.66) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL30978884 0.78 IDO1 (0.61) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL16421133 0.78 IDO1 (0.56) EEDSUZ12EZH2HIF1AEPAS1
Tanshinone Iia SCHEMBL2026738 0.75 EED (1.00) EEDSUZ12EZH2HIF1AEPAS1
SCHEMBL16421134 0.75 EED (0.56) EEDSUZ12EZH2HIF1AEPAS1

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 8 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
CN-119380826-B Chinese patent medicine network pharmacology analysis method and model construction method based on multiscale information entropy 首都医科大学附属北京朝阳医院 2025-04-08 — — CN disclosed
CN-119380826-A Chinese patent medicine network pharmacology analysis method and model construction method based on multiscale information entropy 首都医科大学附属北京朝阳医院 2025-01-28 — — CN disclosed
CN-118064391-A Biological material for regulating and controlling CYP71BE37 gene expression of salvia miltiorrhiza and application thereof 中国中医科学院中药研究所 2024-05-24 — — CN disclosed
US-20230390352-A1 COMPOSITION COMPRISING SALVIA MILTIORRHIZA EXTRACT AS ACTIVE INGREDIENT FOR PREVENTION AND TREATMENT OF DEPRESSION IN MENOPAUSAL WOMEN UNDBIO.CO.,LTD (KR) 2023-12-07 — — US disclosed
US-20160022625-A1 TASHINONES AND THEIR DERIVATIVES: NOVEL EXCELLENT DRUGS FOR ALZHEIMER DISEASE THE UNIVERSITY OF AKRON 2016-01-28 — — US disclosed
US-20160022625-A1 TASHINONES AND THEIR DERIVATIVES: NOVEL EXCELLENT DRUGS FOR ALZHEIMER DISEASE THE UNIVERSITY OF AKRON 2016-01-28 — — US disclosed
WO-2014138357-A1 NOVEL TASHINONE DRUGS FOR ALZHEIMER DISEASE THE UNIVERSITY OF AKRON (US) 2014-09-12 — — WO disclosed
US-20070207989-A1 DITERPENE DERIVATIVES FOR THE TREATMENT OF CARDIOVASCULAR, CANCER AND INFLAMMATORY DISEASES SAVIPU PHARMACEUTICALS (US) 2007-09-06 — — US 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-20070207989-A1 DITERPENE DERIVATIVES FOR THE TREATMENT OF CARDIOVASCULAR, CANCER AND INFLAMMATORY DISEASES NFKBIA, EDNRA, EDNRB EED 2840/4885SUZ12 1953/4885EZH2 4158/4885
US-20160022625-A1 TASHINONES AND THEIR DERIVATIVES: NOVEL EXCELLENT DRUGS FOR ALZHEIMER DISEASE APP, HTT, PSEN1 EED 4772/4885SUZ12 4771/4885EZH2 4860/4885

“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.

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