SCHEMBL16221478

SCHEMBL16221478

O=C1CCC(n2cnc3ccc(NC(=O)COCc4ccccc4)cc3c2=O)C(=O)N1

nearest known ligand 0.46

Predicted protein targets (top 11)

geneUniProtsupporting neighboursconfidence
▸ DDB1 Q16531 7/20 0.46
▸ CRBN Q96SW2 7/20 0.46
▸ IKZF3 Q9UKT9 4/20 0.46
▸ SCD O00767 5/20 0.43
▸ PTPRC P08575 1/20 0.43
▸ PTPN1 P18031 1/20 0.43
▸ PARP1 P09874 1/20 0.41
▸ NPC1 O15118 1/20 0.41
▸ RAB9A P51151 1/20 0.41
▸ SMN1; SMN2 Q16637 1/20 0.41
▸ NAMPT P43490 1/20 0.40

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
SCHEMBL3655103 0.85 CRBN (0.57) DDB1CRBNIKZF3PTPRCPTPN1
SCHEMBL23979952 0.80 DDB1 (0.51) DDB1CRBNIKZF3PTPRCPTPN1
SCHEMBL18596192 0.73 CRBN (0.74) DDB1CRBNIKZF3
SCHEMBL19954297 0.73 CRBN (0.74) DDB1CRBNIKZF3
SCHEMBL27239098 0.72 CRBN (0.60) DDB1CRBNIKZF3PARP1
SCHEMBL3654342 0.71 DDB1 (0.59) DDB1CRBNIKZF3
SCHEMBL3653400 0.71 CRBN (0.59) DDB1CRBNIKZF3
SCHEMBL3653606 0.71 CRBN (0.59) DDB1CRBNIKZF3
SCHEMBL13881359 0.71 CRBN (0.59) DDB1CRBNIKZF3
SCHEMBL19586745 0.71 CRBN (0.76) DDB1CRBNIKZF3

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-9119854-B2 Methods for treating cancer using combination therapy CELGENE CORPORATION (US) 2015-09-01 — — US disclosed
US-20140328832-A1 METHODS FOR TREATING CANCER USING COMBINATION THERAPY CELGENE CORPORATION (US) 2014-11-06 — — 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-20140328832-A1 METHODS FOR TREATING CANCER USING COMBINATION THERAPY TP53, TOP2A, BRCA1 DDB1 59/4885CRBN 475/4885IKZF3 2186/4885

“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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