SCHEMBL896578

SCHEMBL896578

COc1ccccc1-c1c(OC)oc2ccccc2c1=O

nearest known ligand 0.63

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
KDM4E B2RXH2 4/20 0.63
CYP2C9 P11712 4/20 0.63
CYP3A4 P08684 3/20 0.63
ALDH1A1 P00352 3/20 0.63
MEN1 O00255 3/20 0.63
KMT2A Q03164 3/20 0.63
TSHR P16473 3/20 0.63
HSD17B10 Q99714 2/20 0.63
CYP2C19 P33261 2/20 0.63
HPGD P15428 2/20 0.63
MAOA P21397 5/20 0.59
NPC1 O15118 3/20 0.57
RAB9A P51151 2/20 0.57
LMNA P02545 1/20 0.57
NTRK1 P04629 1/20 0.53
PLK3 Q9H4B4 1/20 0.53
CA1 P00915 2/20 0.51
CA2 P00918 2/20 0.51
ALOX15 P16050 2/20 0.50
SMN1; SMN2 Q16637 2/20 0.50

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
SCHEMBL23883097 0.90 CYP2C9 (0.63) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL4287358 0.86 MAOA (0.59) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL11244809 0.84 ALDH1A1 (0.65) KDM4ECYP3A4ALDH1A1MEN1KMT2A
SCHEMBL1001259 0.81 ABCG2 (0.60) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL380906 0.78 KDM4E (1.00) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL4649481 0.78 KDM4E (1.00) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL5121157 0.78 KDM4E (0.55) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL31675993 0.78 KDM4E (1.00) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL7496402 0.77 KDM4E (0.48) KDM4ECYP2C9CYP3A4ALDH1A1MEN1
SCHEMBL9524554 0.76 ABCG2 (0.66) KDM4ECYP2C9CYP3A4ALDH1A1MEN1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-12474287-B2 Detection device and methods of use thereof AMULET, INC. (US) 2025-11-18 US disclosed
US-20250277776-A1 SAMPLER SYSTEM AMULET, INC. (US) 2025-09-04 US disclosed
CN-120192357-A Licoagroside B derivatives, preparation method, pharmaceutical composition and application thereof 中国医学科学院药物研究所 2025-06-24 CN disclosed
US-12281301-B2 Sequencing-based proteomics THE BROAD INSTITUTE, INC. (US) 2025-04-22 US disclosed
CN-118652245-B Compound and application thereof 首都医科大学附属北京儿童医院 2024-11-12 CN disclosed
CN-118652245-A Compound and application thereof 首都医科大学附属北京儿童医院 2024-09-17 CN disclosed
US-20240219336-A1 FOOD ALLERGEN DETECTION DEVICE AND METHODS OF USE THEREOF AMULET, INC. (US) 2024-07-04 US disclosed
EP-4391834-A1 METHODS FOR IMPROVING GUT MICROBIOTA DIVERSITY Société des Produits Nestlé S.A. (CH) 2024-07-03 EP disclosed
WO-2024073025-A1 ANIMAL FOOD COMPOSITIONS WITH IMPROVED PALATABILITY AND CUSTOMIZABILITY, AND METHODS FOR PREPARING THE SAME MARS, INCORPORATED (US) 2024-04-04 WO disclosed
US-11940403-B2 Food allergen detection device and methods of use thereof AMULET, INC. (US) 2024-03-26 US disclosed
US-20140234271-A1 COMPOSITIONS FOR PROLIFERATION OF CELLS AND RELATED METHODS THE HOSPITAL FOR SICK CHILDREN (CA) 2014-08-21 US disclosed
US-8793078-B2 Method for predicting activation energy using atomic fingerprint descriptor or atomic descriptor BIOINFORMATICS & MOLECULAR DESIGN RESEARCH CENTER (KR) 2014-07-29 US disclosed
US-8633203-B2 Use of pterocarpans as active anti-cellulite ingredients SYMRISE AG (DE) 2014-01-21 US disclosed
US-8557331-B2 Antifouling method and composition using chromen-4-one derivatives THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY (CN) 2013-10-15 US disclosed
US-20120084012-A1 METHOD FOR PREDICTING ACTIVATION ENERGY USING ATOMIC FINGERPRINT DESCRIPTOR OR ATOMIC DESCRIPTOR BIOINFORMATICS & MOLECULAR DESIGN RESEARCH CENTER (KR) 2012-04-05 US disclosed
US-20110213558-A1 METHOD FOR PREDICTING ACTIVATION ENERGY USING AN ATOMIC FINGERPRINT DESCRIPTOR OR AN ATOMIC DESCRIPTOR BIOINFORMATICS & MOLECULAR DESIGN RESEARCH CENTER (KR) 2011-09-01 US disclosed
EP-2354987-A2 METHOD FOR PREDICTING ACTIVATION ENERGY USING AN ATOMIC FINGERPRINT DESCRIPTOR OR AN ATOMIC DESCRIPTOR Bioinformatics&Molecular Design Research Center (KR) 2011-08-10 EP disclosed
US-20110034486-A1 USE OF PTEROCARPANS AS ACTIVE ANTI-CELLULITE INGREDIENTS SYMRISE GMBH & CO., KG (DE) 2011-02-10 US disclosed
CN-101918037-A Be used to reduce the method and composition of skin injury GEN HOSPITAL CORP 2010-12-15 CN disclosed
WO-2010056053-A2 METHOD FOR PREDICTING ACTIVATION ENERGY USING AN ATOMIC FINGERPRINT DESCRIPTOR OR AN ATOMIC DESCRIPTOR 사단법인 분자설계연구소 (KR) 2010-05-20 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-20110034486-A1 USE OF PTEROCARPANS AS ACTIVE ANTI-CELLULITE INGREDIENTS FABP4, PLIN1, CPT1B KDM4E 665/4885CYP2C9 1296/4885CYP3A4 1262/4885
US-20140234271-A1 COMPOSITIONS FOR PROLIFERATION OF CELLS AND RELATED METHODS MKI67, KRT18, PROX1 KDM4E 674/4885CYP2C9 4077/4885CYP3A4 4005/4885

“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.