SCHEMBL13932166

SCHEMBL13932166

C=C(C)C1CC[C@](C)(O)C2Oc3cc(CCCCC)cc(O)c3C12

nearest known ligand 0.62

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ OPRM1 P35372 5/20 0.62
▸ CNR2 P34972 14/20 0.57
▸ CNR1 P21554 11/20 0.57
▸ TRPV1 Q8NER1 2/20 0.47
▸ NR1I2 O75469 2/20 0.47
▸ LDHA P00338 2/20 0.47
▸ TRPM8 Q7Z2W7 2/20 0.47
▸ GPR55 Q9Y2T6 2/20 0.47
▸ MLNR O43193 1/20 0.47
▸ PDE9A O76083 1/20 0.47
▸ ABCB11 O95342 1/20 0.47
▸ CYP1A1 P04798 1/20 0.47
▸ CYP1A2 P05177 1/20 0.47
▸ CHRM2 P08172 1/20 0.47
▸ CYP3A4 P08684 1/20 0.47
▸ HTR1A P08908 1/20 0.47
▸ ADORA3 P0DMS8 1/20 0.47
▸ CYP2D6 P10635 1/20 0.47
▸ CYP2A6 P11509 1/20 0.47
▸ CYP2C9 P11712 1/20 0.47

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
SCHEMBL29351653 1.00 OPRM1 (0.62) OPRM1CNR2CNR1TRPV1NR1I2
SCHEMBL26112343 1.00 OPRM1 (0.62) OPRM1CNR2CNR1TRPV1NR1I2
SCHEMBL20911820 1.00 OPRM1 (0.62) OPRM1CNR2CNR1TRPV1NR1I2
SCHEMBL13214152 1.00 OPRM1 (0.62) OPRM1CNR2CNR1TRPV1NR1I2
SCHEMBL23765201 1.00 OPRM1 (0.62) OPRM1CNR2CNR1TRPV1NR1I2
SCHEMBL26136617 1.00 OPRM1 (0.62) OPRM1CNR2CNR1TRPV1NR1I2
SCHEMBL23627717 1.00 OPRM1 (0.62) OPRM1CNR2CNR1TRPV1NR1I2
SCHEMBL24538304 0.93 OPRM1 (0.52) OPRM1CNR2CNR1TRPV1TRPM8
SCHEMBL23008924 0.93 OPRM1 (0.52) OPRM1CNR2CNR1TRPV1TRPM8
SCHEMBL13214153 0.93 OPRM1 (0.52) OPRM1CNR2CNR1TRPV1TRPM8

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20230165807-A1 COMPOSITIONS INCLUDING TERPENES, CANNABINOID OILS, OR FLAVONOIDS AND USES THEREOF CALIBRATED THERAPEUTICS, LLC 2023-06-01 — — US disclosed
US-20230165807-A1 COMPOSITIONS INCLUDING TERPENES, CANNABINOID OILS, OR FLAVONOIDS AND USES THEREOF CALIBRATED THERAPEUTICS, LLC 2023-06-01 — — US disclosed
US-20230131989-A1 CANNABINOID COMPOSITIONS AND METHODS OF USING FOR THE TREATMENT OF NON-EOSINOPHILIC INFLAMMATION AND INFLAMMATORY DISORDERS MEDTERRA PHARMA LLC 2023-04-27 — — US disclosed
US-20230131989-A1 CANNABINOID COMPOSITIONS AND METHODS OF USING FOR THE TREATMENT OF NON-EOSINOPHILIC INFLAMMATION AND INFLAMMATORY DISORDERS MEDTERRA PHARMA LLC 2023-04-27 — — US disclosed
WO-2022049007-A1 METHOD OF PREPARING CANNABINOIDS GW Research Limited (GB) 2022-03-10 — — WO disclosed
US-20090054376-A1 BENZOFURAN DERIVATIVES WITH THERAPEUTIC ACTIVITIES PHARMOS CORPORATION 2009-02-26 — — 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 (3 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-20230165807-A1 COMPOSITIONS INCLUDING TERPENES, CANNABINOID OILS, OR FLAVONOIDS AND USES THEREOF CNR2, CNR1, FAAH OPRM1 153/4885CNR2 1/4885CNR1 2/4885
US-20230131989-A1 CANNABINOID COMPOSITIONS AND METHODS OF USING FOR THE TREATMENT OF NON-EOSINOPHILIC INFLAMMATION AND INFLAMMATORY DISORDERS CNR2, CNR1, FAAH2 OPRM1 515/4885CNR2 1/4885CNR1 2/4885
US-20090054376-A1 BENZOFURAN DERIVATIVES WITH THERAPEUTIC ACTIVITIES CNR2, CNR1, TRPV1 OPRM1 83/4885CNR2 1/4885CNR1 2/4885

“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.

Send feedback