SCHEMBL20939323

SCHEMBL20939323

CC(=O)N1CCc2c(C)ccc(Cl)c21

nearest known ligand 0.56

Predicted protein targets (top 3)

geneUniProtsupporting neighboursconfidence
▸ NOTUM Q6P988 15/20 0.56
▸ CYP11B2 P19099 4/20 0.41
▸ MAPT P10636 1/20 0.37

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
SCHEMBL20939324 0.80 NOTUM (0.40) NOTUM
SCHEMBL20939398 0.79 CYP11B2 (0.48) NOTUMCYP11B2
SCHEMBL8824021 0.76 NOTUM (0.49) NOTUM
SCHEMBL29187809 0.74 NOTUM (0.46) NOTUMMAPT
SCHEMBL20939587 0.74 NOTUM (0.46) NOTUMCYP11B2
SCHEMBL29187823 0.71 NOTUM (0.47) NOTUMMAPT
SCHEMBL2619231 0.70 NOTUM (1.00) NOTUMMAPT
SCHEMBL22946268 0.70 NOTUM (0.42) NOTUMCYP11B2MAPT
SCHEMBL13184286 0.69 INMT (0.38) —
SCHEMBL6685699 0.69 NOTUM (0.64) NOTUMCYP11B2MAPT

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-11186589-B2 Cyanoindoline derivatives as NIK inhibitors JANSSEN PHARMACEUTICA NV (BE) 2021-11-30 — — US disclosed
US-20210032267-A1 CYANOINDOLINE DERIVATIVES AS NIK INHIBITORS JANSSEN PHARMACEUTICA NV (BE) 2021-02-04 — — US disclosed
EP-3478673-B1 CYANOINDOLINE DERIVATIVES AS NIK INHIBITORS JANSSEN PHARMACEUTICA NV (BE) 2020-09-16 — — EP disclosed
US-20190119299-A1 CYANOINDOLINE DERIVATIVES AS NIK INHIBITORS JANSSEN PHARMACEUTICA NV (BE) 2019-04-25 — — 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-20210032267-A1 CYANOINDOLINE DERIVATIVES AS NIK INHIBITORS MAP3K14, NFKBIA, MAP3K15 NOTUM 2525/4885CYP11B2 1589/4885MAPT 3039/4885
US-20190119299-A1 CYANOINDOLINE DERIVATIVES AS NIK INHIBITORS NFKBIA, IKBKG, IKBKB NOTUM 2554/4885CYP11B2 1810/4885MAPT 3137/4885
US-11186589-B2 Cyanoindoline derivatives as NIK inhibitors MAP3K14, NFKBIA, MAP3K15 NOTUM 2525/4885CYP11B2 1589/4885MAPT 3039/4885

“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.

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