SCHEMBL753929

SCHEMBL753929

CC(C)(C)c1ccc(S(=O)(=O)N2CCN(C(=O)c3ccc4ccccc4c3)CC2)cc1

nearest known ligand 0.61

Predicted protein targets (top 19)

geneUniProtsupporting neighboursconfidence
ATM Q13315 1/20 0.61
CA12 O43570 1/20 0.60
CA1 P00915 1/20 0.60
CA2 P00918 1/20 0.60
CA7 P43166 1/20 0.60
CA9 Q16790 1/20 0.60
PKM P14618 4/20 0.58
SMN1; SMN2 Q16637 3/20 0.57
TSHR P16473 2/20 0.56
HPGD P15428 1/20 0.56
LMNA P02545 2/20 0.55
ALDH1A1 P00352 4/20 0.54
GAA P10253 3/20 0.54
HTT P42858 1/20 0.54
KMT2A Q03164 2/20 0.53
AKR1C1 Q04828 1/20 0.52
USP2 O75604 1/20 0.52
MEN1 O00255 1/20 0.52
RAB9A P51151 1/20 0.52

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
SCHEMBL751828 0.87 ALDH1A1 (0.66) SMN1; SMN2HPGDLMNAALDH1A1GAA
SCHEMBL735124 0.86 LMNA (0.66) SMN1; SMN2HPGDLMNAALDH1A1GAA
SCHEMBL752313 0.84 GPR183 (0.65) SMN1; SMN2HPGDLMNAALDH1A1GAA
SCHEMBL734826 0.83 KMT2A (0.55) PKMSMN1; SMN2TSHRLMNAALDH1A1
SCHEMBL751716 0.82 LMNA (0.72) SMN1; SMN2HPGDLMNAALDH1A1GAA
SCHEMBL752323 0.82 LMNA (0.72) SMN1; SMN2HPGDLMNAALDH1A1GAA
SCHEMBL751856 0.82 ALDH1A1 (0.61) TSHRHPGDLMNAALDH1A1GAA
SCHEMBL734913 0.82 CA12 (0.59) CA12CA1CA2CA7CA9
SCHEMBL751728 0.81 ALDH1A1 (0.67) CA12CA1CA2CA7CA9
SCHEMBL753931 0.80 CNR2 (0.58) PKMLMNAGAAKMT2AMEN1

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 ATM 2128/4885CA12 3695/4885CA1 4139/4885
US-20070249626-A1 Diaza heterocyclic amide compounds and their uses GPR119, GLP1R, INSR ATM 2128/4885CA12 3695/4885CA1 4139/4885

“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.