SCHEMBL24704102

SCHEMBL24704102

C=C(C)[C@]1(C)CCC(C)=CC1c1c(O)cc(CCCCC)c(C(=O)O)c1O

nearest known ligand 0.64

Predicted protein targets (top 12)

geneUniProtsupporting neighboursconfidence
DAGLA Q9Y4D2 3/20 0.64
NAAA Q02083 1/20 0.64
CNR1 P21554 10/20 0.53
CNR2 P34972 7/20 0.51
LDHA P00338 1/20 0.51
PPARG P37231 1/20 0.51
TRPM8 Q7Z2W7 1/20 0.51
TRPV1 Q8NER1 1/20 0.45
GPR55 Q9Y2T6 1/20 0.43
MEN1 O00255 1/20 0.43
MAPT P10636 1/20 0.43
KMT2A Q03164 1/20 0.43

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
SCHEMBL22564594 1.00 DAGLA (0.64) DAGLANAAACNR1CNR2LDHA
SCHEMBL24132001 1.00 DAGLA (0.64) DAGLANAAACNR1CNR2LDHA
SCHEMBL24703764 0.93 DAGLA (0.62) DAGLANAAACNR1CNR2LDHA
SCHEMBL24703761 0.93 DAGLA (0.62) DAGLANAAACNR1CNR2LDHA
SCHEMBL24704101 0.84 DAGLA (0.57) DAGLANAAACNR1CNR2LDHA
SCHEMBL24299982 0.84 TRPV1 (0.46) DAGLANAAACNR1CNR2LDHA
SCHEMBL24703680 0.81 CNR2 (0.57) DAGLANAAACNR1CNR2LDHA
SCHEMBL23052897 0.81 CNR2 (0.57) DAGLANAAACNR1CNR2LDHA
SCHEMBL22957097 0.81 CNR2 (0.57) DAGLANAAACNR1CNR2LDHA
SCHEMBL13609362 0.81 CNR2 (0.57) DAGLANAAACNR1CNR2LDHA

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20220387352-A1 CANNABINOID COMPOSITIONS AND METHODS OF USING FOR THE TREATMENT OF NON-EOSINOPHILIC INFLAMMATION AND INFLAMMATORY DISORDERS MEDTERRA PHARMA LLC 2022-12-08 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 (1 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-20220387352-A1 CANNABINOID COMPOSITIONS AND METHODS OF USING FOR THE TREATMENT OF NON-EOSINOPHILIC INFLAMMATION AND INFLAMMATORY DISORDERS CNR2, CNR1, FAAH2 DAGLA 191/4885NAAA 281/4885CNR1 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.