SCHEMBL6046385

SCHEMBL6046385

CC(C)Oc1ccc2c(O)c(C(=O)C(CO)C(=O)O)nc(Cl)c2c1

nearest known ligand 0.47

Predicted protein targets (top 17)

geneUniProtsupporting neighboursconfidence
EGLN1 Q9GZT9 10/20 0.47
THRA P10827 3/20 0.47
THRB P10828 3/20 0.47
FTO Q9C0B1 5/20 0.42
BBOX1 O75936 4/20 0.42
PRKAB2 O43741 1/20 0.40
PRKAG1 P54619 1/20 0.40
PRKAA2 P54646 1/20 0.40
PRKAA1 Q13131 1/20 0.40
PRKAG3 Q9UGI9 1/20 0.40
PRKAG2 Q9UGJ0 1/20 0.40
PRKAB1 Q9Y478 1/20 0.40
SLC6A2 P23975 1/20 0.37
SLC6A3 Q01959 1/20 0.37
ASPH Q12797 1/20 0.37
KDM8 Q8N371 1/20 0.37
EGLN2 Q96KS0 2/20 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
SCHEMBL6046383 1.00 EGLN1 (0.47) EGLN1THRATHRBFTOBBOX1
SCHEMBL523239 0.84 EGLN1 (0.50) EGLN1THRATHRBFTOBBOX1
SCHEMBL521962 0.83 FTO (0.53) EGLN1THRATHRBFTOBBOX1
SCHEMBL523213 0.83 FTO (0.53) EGLN1THRATHRBFTOBBOX1
SCHEMBL521963 0.83 FTO (0.53) EGLN1THRATHRBFTOBBOX1
SCHEMBL523022 0.81 EGLN1 (0.51) EGLN1THRATHRBFTOBBOX1
SCHEMBL523018 0.80 EGLN1 (0.69) EGLN1THRATHRBFTOBBOX1
SCHEMBL523019 0.80 EGLN1 (0.69) EGLN1THRATHRBFTOBBOX1
SCHEMBL522268 0.80 THRA (0.72) EGLN1THRATHRBFTOBBOX1
SCHEMBL524007 0.80 EGLN1 (0.69) EGLN1THRATHRBFTOBBOX1

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 1 patent. 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

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-20060216295-A1 Methods of identifying therapeutic targets for the treatment of vulvovaginal atrophy DNASE1L3, ANXA4, SERPINA6 EGLN1 863/4885THRA 3799/4885THRB 3714/4885

“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.