SCHEMBL13699738

SCHEMBL13699738

C=C1CCC(C)(N2C(=O)c3cccc(N)c3C2=O)C(=O)N1

nearest known ligand 0.77

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ DDB1 Q16531 4/20 0.57
▸ CRBN Q96SW2 4/20 0.57
▸ TNF P01375 1/20 0.41
▸ IL1B P01584 1/20 0.41
▸ TBXA2R P21731 1/20 0.41
▸ IKZF1 Q13422 1/20 0.41
▸ IKZF3 Q9UKT9 1/20 0.41
▸ DPP4 P27487 1/20 0.39
▸ ADORA2A P29274 1/20 0.38
▸ HSPA1A P0DMV8 1/20 0.38
▸ PABPC1 P11940 1/20 0.38
▸ TMEM97 Q5BJF2 3/20 0.36
▸ HTR2B P41595 2/20 0.36
▸ HTR3E A5X5Y0 1/20 0.36
▸ HTR3B O95264 1/20 0.36
▸ HTR3A P46098 1/20 0.36
▸ HTR3D Q70Z44 1/20 0.36
▸ HTR3C Q8WXA8 1/20 0.36
▸ ATM Q13315 4/20 0.35
▸ NPC1 O15118 2/20 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
SCHEMBL30896328 0.87 CRBN (0.74) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL1962200 0.87 CRBN (0.74) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL4674905 0.87 CRBN (0.74) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL476905 0.87 CRBN (0.74) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL8259914 0.82 CRBN (0.57) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL25565709 0.81 DDB1 (0.51) DDB1CRBN
SCHEMBL7859338 0.76 DDB1 (0.47) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL6179617 0.76 DDB1 (0.74) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL2049089 0.76 DDB1 (0.74) DDB1CRBNTNFIL1BTBXA2R
SCHEMBL2049091 0.76 DDB1 (0.74) DDB1CRBNTNFIL1BTBXA2R

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
US-9857359-B2 Methods for determining drug efficacy using cereblon-associated proteins CELGENE CORPORATION (US) 2018-01-02 — — US disclosed
US-20160313300-A1 METHODS FOR DETERMINING DRUG EFFICACY FOR THE TREATMENT OF DIFFUSE LARGE B-CELL LYMPHOMA, MULTIPLE MYELOMA, AND MYELOID CANCERS CELGENE CORP (US) 2016-10-27 — — US disclosed
US-20140162282-A1 METHODS FOR DETERMINING DRUG EFFICACY USING CEREBLON-ASSOCIATED PROTEINS CELGENE CORPORATION (US) 2014-06-12 — — US disclosed
US-20090222080-A1 MEDICAL STENT PROVIDED WITH INHIBITORS OF TUMOR NECROSIS FACTOR-ALPHA PICARUS NV SA (LU) 2009-09-03 — — US disclosed
US-7459466-B2 Substituted 2-(2,6-dioxopiperidin-3-yl)-phthalimides and -1-oxoisoindolines and method of reducing TNFα levels CELGENE CORPORATION (US) 2008-12-02 — — 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 (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-20160313300-A1 METHODS FOR DETERMINING DRUG EFFICACY FOR THE TREATMENT OF DIFFUSE LARGE B-CELL LYMPHOMA, MULTIPLE MYELOMA, AND MYELOID CANCERS BCL9, BCL9L, IKZF1 DDB1 52/4885CRBN 5/4885TNF 2236/4885

“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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