SCHEMBL20227597

SCHEMBL20227597

O=c1[nH]c2ccccc2c2c(-c3ccc4ccc5ccccc5c4c3)cccc12

nearest known ligand 0.44

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ KDM4E B2RXH2 4/20 0.44
▸ ALDH1A1 P00352 3/20 0.44
▸ PARP1 P09874 3/20 0.44
▸ TNKS O95271 2/20 0.44
▸ LMNA P02545 2/20 0.44
▸ HSD17B10 Q99714 2/20 0.44
▸ TNKS2 Q9H2K2 2/20 0.44
▸ MEN1 O00255 1/20 0.44
▸ CYP1A2 P05177 1/20 0.44
▸ GPR3 P46089 1/20 0.44
▸ BLM P54132 1/20 0.44
▸ PMP22 Q01453 1/20 0.44
▸ KMT2A Q03164 1/20 0.44
▸ PARP15 Q460N3 1/20 0.44
▸ PDE9A O76083 1/20 0.43
▸ GRIN2D O15399 1/20 0.41
▸ GRIN3B O60391 1/20 0.41
▸ GRIN1 Q05586 1/20 0.41
▸ GRIN2A Q12879 1/20 0.41
▸ GRIN2B Q13224 1/20 0.41

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
SCHEMBL20227596 0.78 PARP1 (0.49) KDM4EALDH1A1PARP1TNKSLMNA
SCHEMBL460847 0.77 KDM4E (0.57) KDM4EALDH1A1PARP1TNKSLMNA
SCHEMBL500585 0.76 PARP1 (0.49) KDM4EALDH1A1PARP1TNKSLMNA
SCHEMBL23668299 0.75 CDK4 (0.47) ALDH1A1HSD17B10GPR3PDE9ACDK4
SCHEMBL30721419 0.75 CDK4 (0.47) ALDH1A1HSD17B10GPR3PDE9ACDK4
SCHEMBL4444811 0.73 ALDH1A1 (0.56) KDM4EALDH1A1HSD17B10CYP1A2CA12
SCHEMBL8586869 0.72 ALDH1A1 (0.52) ALDH1A1HSD17B10CYP1A2HPGDMAPK1
SCHEMBL28469329 0.72 CDK4 (0.51) ALDH1A1HSD17B10CYP1A2CDK4CCND1
SCHEMBL28465176 0.71 CDK4 (0.50) CDK4CCND1CCNB2CCNE2CDK1
SCHEMBL18429999 0.71 AHR (0.52) KDM4EALDH1A1PARP1HSD17B10MEN1

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-11713319-B2 Compounds having valerolactam structures MERCK PATENT GMBH (DE) 2023-08-01 — — US disclosed
US-11713319-B2 Compounds having valerolactam structures MERCK PATENT GMBH (DE) 2023-08-01 — — US disclosed
EP-3548467-B1 COMPOUNDS HAVING VALEROLACTAM STRUCTURES MERCK PATENT GMBH (DE) 2023-06-21 — — EP disclosed
US-20200031827-A1 COMPOUNDS HAVING VALEROLACTAM STRUCTURES MERCK PATENT GMBH (DE) 2020-01-30 — — US disclosed
WO-2018099846-A1 COMPOUNDS HAVING VALEROLACTAM STRUCTURES MERCK PATENT GMBH (DE) 2018-06-07 — — WO 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-11713319-B2 Compounds having valerolactam structures ACE, CYP3A4, CYP2D6 KDM4E 587/4885ALDH1A1 165/4885PARP1 340/4885
US-20200031827-A1 COMPOUNDS HAVING VALEROLACTAM STRUCTURES ACE, CYP3A4, CYP2D6 KDM4E 587/4885ALDH1A1 165/4885PARP1 340/4885

“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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