SCHEMBL16707752

SCHEMBL16707752

CCC1CN(C)CCCN1C

nearest known ligand 0.38

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
CYP1A2 P05177 1/20 0.35

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
SCHEMBL20161410 1.00 CYP1A2 (0.35) CYP1A2
SCHEMBL20161474 1.00 CYP1A2 (0.35) CYP1A2
SCHEMBL14948548 0.86 KAT6A (0.32)
SCHEMBL14948558 0.86 KAT6A (0.32)
SCHEMBL90077 0.86 KAT6A (0.32)
SCHEMBL2048600 0.84 NCF1 (0.34)
SCHEMBL23366040 0.78 ALDH1A1 (0.33)
SCHEMBL19334280 0.78 CYP1A2 (0.33) CYP1A2
SCHEMBL23366044 0.75 CYP1A2 (0.32) CYP1A2
SCHEMBL23366003 0.75 PKM (0.30)

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3534899-B1 COMPOUNDS AND METHODS FOR MODULATING INTERLEUKIN-2-INDUCIBLE T-CELL KINASE CORVUS PHARMACEUTICALS INC (US) 2022-06-01 EP disclosed
WO-2018089261-A2 COMPOUNDS AND METHODS FOR MODULATING INTERLEUKIN-2-INDUCIBLE T-CELL KINASE CORVUS PHARMACEUTICALS, INC. (US) 2018-05-17 WO disclosed
US-20180044300-A1 AZEPANE DERIVATIVES AND METHODS OF TREATING HEPATITIS B INFECTIONS NOVIRA THERAPEUTICS, INC. 2018-02-15 US disclosed
US-9115113-B2 Azepane derivatives and methods of treating hepatitis B infections NOVIRA THERAPEUTICS, INC. (US) 2015-08-25 US disclosed
US-20150132258-A1 AZEPANE DERIVATIVES AND METHODS OF TREATING HEPATITIS B INFECTIONS NOVIRA THERAPEUTICS, INC., 2015-05-14 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-20180044300-A1 AZEPANE DERIVATIVES AND METHODS OF TREATING HEPATITIS B INFECTIONS HAVCR2, HDGF, AZI2 CYP1A2 150/4885
US-20150132258-A1 AZEPANE DERIVATIVES AND METHODS OF TREATING HEPATITIS B INFECTIONS HAVCR2, HDGF, AZI2 CYP1A2 150/4885

“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.