SCHEMBL5819956

SCHEMBL5819956

O=C(O)C1C=Nc2c(c(O)cc3ncccc23)C1=O

nearest known ligand 0.36

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
DAO P14920 1/20 0.36
IL1B P01584 1/20 0.36
KDM4E B2RXH2 6/20 0.33
L3MBTL1 Q9Y468 3/20 0.33
KDM6B O15054 1/20 0.33
KDM6A O15550 1/20 0.33
TET3 O43151 1/20 0.33
KDM4A O75164 1/20 0.33
KDM4B O94953 1/20 0.33
KDM5C P41229 1/20 0.33
KDM4D Q6B0I6 1/20 0.33
TET2 Q6N021 1/20 0.33
ALKBH5 Q6P6C2 1/20 0.33
TET1 Q8NFU7 1/20 0.33
FTO Q9C0B1 1/20 0.33
EGLN1 Q9GZT9 1/20 0.33
KDM4C Q9H3R0 1/20 0.33
KDM2A Q9Y2K7 1/20 0.33
KDM3A Q9Y4C1 1/20 0.33
ERN1 O75460 1/20 0.33

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
SCHEMBL967454 0.80 L3MBTL1 (0.39) DAOKDM4EL3MBTL1KDM6BKDM6A
SCHEMBL6985131 0.76 KDM4E (0.37) KDM4EL3MBTL1KDM6BKDM6ATET3
SCHEMBL6986566 0.69 L3MBTL1 (0.39) KDM4EL3MBTL1KDM6BKDM6ATET3
SCHEMBL6987201 0.69 CCR1 (0.40) KDM4EL3MBTL1RAB9ANPC1MAPT
SCHEMBL6975182 0.69 L3MBTL1 (0.40) L3MBTL1MEN1KMT2AMAPT
SCHEMBL11374642 0.65 KDM4E (0.41) KDM4EL3MBTL1MEN1KMT2ABLM
SCHEMBL5566400 0.65 KMT2A (0.35) KDM4EL3MBTL1MEN1RAB9AKMT2A
SCHEMBL1509598 0.65 LMNA (0.43) KDM4EL3MBTL1TET2TET1EGLN1
Hydrochloric Acid SCHEMBL10655026 0.64 KMT2A (0.34) KDM4EL3MBTL1MEN1RAB9AKMT2A
SCHEMBL7794481 0.64 MAPT (0.51) DAOKDM4EL3MBTL1ERN1MEN1

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-20060216295-A1 Methods of identifying therapeutic targets for the treatment of vulvovaginal atrophy WYETH (US) 2006-09-28 US claimed
WO-2006099610-A2 METHODS OF IDENTIFYING THERAPEUTIC TARGETS FOR THE TREATMENT OF VULVOVAGINAL ATROPHY WYETH (US) 2006-09-21 WO claimed
US-20160015786-A1 MOBILIZING AGENTS AND USES THEREFOR MATER MEDICAL RESEARCH INSTITUTE LIMITED (AU) 2016-01-21 US disclosed
US-20060216295-A1 Methods of identifying therapeutic targets for the treatment of vulvovaginal atrophy WYETH (US) 2006-09-28 US disclosed
WO-2006099610-A2 METHODS OF IDENTIFYING THERAPEUTIC TARGETS FOR THE TREATMENT OF VULVOVAGINAL ATROPHY WYETH (US) 2006-09-21 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-20060216295-A1 Methods of identifying therapeutic targets for the treatment of vulvovaginal atrophy DNASE1L3, ANXA4, SERPINA6 DAO 2764/4885IL1B 4767/4885KDM4E 2921/4885
US-20160015786-A1 MOBILIZING AGENTS AND USES THEREFOR HIF1AN, CXCL12, HIF1A DAO 4442/4885IL1B 476/4885KDM4E 4059/4885

“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.