SCHEMBL30102887

SCHEMBL30102887

O=C(NCC1CCOCC1)c1n[nH]c2c1CC1CC21

nearest known ligand 0.53

Predicted protein targets (top 10)

geneUniProtsupporting neighboursconfidence
HCAR2 Q8TDS4 2/20 0.53
SLC6A4 P31645 1/20 0.53
CNR2 P34972 4/20 0.52
CNR1 P21554 3/20 0.52
GSK3B P49841 14/20 0.43
KCNH2 Q12809 11/20 0.43
CCNA2 P20248 1/20 0.42
CDK2 P24941 1/20 0.42
GRK2 P25098 1/20 0.42
CLK1 P49759 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
SCHEMBL29718518 0.76 CNR2 (0.58) CNR2CNR1
SCHEMBL29718320 0.73 CNR2 (0.57) CNR2CNR1
SCHEMBL29718688 0.73 CNR2 (0.67) CNR2CNR1
SCHEMBL11972373 0.71 HCAR2 (1.00) HCAR2SLC6A4
SCHEMBL30236770 0.71 HCAR2 (1.00) HCAR2SLC6A4
SCHEMBL29718650 0.71 CNR2 (0.64) CNR2CNR1
SCHEMBL30102881 0.70 HCAR2 (0.60) HCAR2SLC6A4CNR2CNR1
SCHEMBL29718511 0.70 CNR2 (0.63) CNR2CNR1GSK3BKCNH2
SCHEMBL29718669 0.70 CNR2 (0.63) CNR2CNR1
SCHEMBL29718473 0.70 CNR2 (0.63) CNR2CNR1GSK3B

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-12201633-B2 Compounds and methods for treatment of visceral pain ARENA PHARMACEUTICALS, INC. (US) 2025-01-21 US disclosed
US-20230033510-A1 Compounds and Methods for Treatment of Visceral Pain ARENA PHARMACEUTICALS, INC. 2023-02-02 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-12201633-B2 Compounds and methods for treatment of visceral pain VIP, FABP2, FABP6 HCAR2 297/4885SLC6A4 3386/4885CNR2 100/4885
US-20230033510-A1 Compounds and Methods for Treatment of Visceral Pain VIP, FABP2, FABP6 HCAR2 297/4885SLC6A4 3386/4885CNR2 100/4885

“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.