SCHEMBL752288

SCHEMBL752288

Cc1ccc(S(=O)(=O)N2CCN(C(=O)c3ccccc3)C(C)C2)cc1

nearest known ligand 0.60

Predicted protein targets (top 18)

geneUniProtsupporting neighboursconfidence
TSHR P16473 2/20 0.60
L3MBTL1 Q9Y468 2/20 0.60
CYP3A4 P08684 1/20 0.60
CYP2D6 P10635 1/20 0.60
CYP2C9 P11712 1/20 0.60
CYP2C19 P33261 1/20 0.60
LMNA P02545 2/20 0.58
GAA P10253 3/20 0.53
ALDH1A1 P00352 5/20 0.53
KMT2A Q03164 4/20 0.53
MEN1 O00255 2/20 0.53
CA1 P00915 2/20 0.52
CA2 P00918 2/20 0.52
CA4 P22748 2/20 0.52
CA9 Q16790 2/20 0.52
SMO Q99835 1/20 0.51
PKM P14618 2/20 0.49
HTT P42858 1/20 0.48

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
SCHEMBL3715156 0.89 SMO (0.52) TSHRL3MBTL1CYP3A4CYP2D6CYP2C9
SCHEMBL3713826 0.89 SMO (0.52) TSHRL3MBTL1CYP3A4CYP2D6CYP2C9
SCHEMBL3715207 0.87 TSHR (0.56) TSHRLMNAALDH1A1KMT2AMEN1
SCHEMBL7886059 0.86 SMO (0.54) TSHRL3MBTL1CYP3A4CYP2D6CYP2C9
SCHEMBL3713815 0.86 SMO (0.54) TSHRL3MBTL1CYP3A4CYP2D6CYP2C9
SCHEMBL3709524 0.86 PDK2 (0.49) TSHRL3MBTL1CYP3A4CYP2D6CYP2C9
SCHEMBL3714114 0.86 PDK2 (0.49) TSHRL3MBTL1CYP3A4CYP2D6CYP2C9
SCHEMBL13373122 0.81 TSHR (0.50) TSHRLMNAGAAALDH1A1KMT2A
SCHEMBL18410747 0.79 LMNA (0.89) TSHRL3MBTL1LMNAGAAALDH1A1
SCHEMBL7894275 0.79 AKR1C3 (0.49) L3MBTL1GAAALDH1A1CA1CA2

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 11 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20170234881-A1 METHODS OF DIAGNOSING AND TREATING CANCER INSERM (INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE) (FR) 2017-08-17 US disclosed
US-20170234881-A1 METHODS OF DIAGNOSING AND TREATING CANCER INSERM (INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE) (FR) 2017-08-17 US disclosed
WO-2016034742-A1 METHODS OF DIAGNOSING AND TREATING CANCER INSERM (Institut National de la Santé et de la Recherche Médicale) (FR) 2016-03-10 WO disclosed
US-8138190-B2 Diaza heterocyclic amide compounds and their uses AMGEN INC. (US) 2012-03-20 US disclosed
US-8138190-B2 Diaza heterocyclic amide compounds and their uses AMGEN INC. (US) 2012-03-20 US disclosed
US-20090176768-A1 DIAZA HETEROCYCLIC AMIDE COMPOUNDS AND THEIR USES AMGEN INC. 2009-07-09 US disclosed
US-20090176768-A1 DIAZA HETEROCYCLIC AMIDE COMPOUNDS AND THEIR USES AMGEN INC. 2009-07-09 US disclosed
US-7524848-B2 Diaza heterocyclic amide compounds and their uses AMGEN INC. (US) 2009-04-28 US disclosed
US-7524848-B2 Diaza heterocyclic amide compounds and their uses AMGEN INC. (US) 2009-04-28 US disclosed
US-20070249626-A1 Diaza heterocyclic amide compounds and their uses AMGEN INC. 2007-10-25 US disclosed
US-20070249626-A1 Diaza heterocyclic amide compounds and their uses AMGEN INC. 2007-10-25 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 (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-20090176768-A1 DIAZA HETEROCYCLIC AMIDE COMPOUNDS AND THEIR USES GPR119, GLP1R, INSR TSHR 299/4885L3MBTL1 1927/4885CYP3A4 888/4885
US-20070249626-A1 Diaza heterocyclic amide compounds and their uses GPR119, GLP1R, INSR TSHR 299/4885L3MBTL1 1927/4885CYP3A4 888/4885

“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.