SCHEMBL751732

SCHEMBL751732

CCCCOc1ccc(C(=O)N2CCN(S(=O)(=O)c3ccc(C)cc3)CC2)cc1

nearest known ligand 0.65

Predicted protein targets (top 18)

geneUniProtsupporting neighboursconfidence
LMNA P02545 3/20 0.65
KMT2A Q03164 5/20 0.62
HPGD P15428 3/20 0.62
MEN1 O00255 3/20 0.62
ALDH1A1 P00352 2/20 0.62
SMN1; SMN2 Q16637 2/20 0.62
L3MBTL1 Q9Y468 3/20 0.60
TSHR P16473 1/20 0.60
MAPK1 P28482 1/20 0.60
RECQL P46063 1/20 0.60
PKM P14618 1/20 0.59
TDP1 Q9NUW8 1/20 0.55
APOBEC3A P31941 1/20 0.55
CTDSP1 Q9GZU7 1/20 0.55
APOBEC3G Q9HC16 1/20 0.55
NPSR1 Q6W5P4 1/20 0.55
KCNA5 P22460 1/20 0.55
GAA P10253 1/20 0.54

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
SCHEMBL754935 0.88 KMT2A (0.58) LMNAKMT2AHPGDMEN1ALDH1A1
SCHEMBL7895851 0.85 L3MBTL1 (0.66) LMNAKMT2AALDH1A1SMN1; SMN2L3MBTL1
SCHEMBL751718 0.84 LMNA (0.72) LMNAKMT2AMEN1ALDH1A1SMN1; SMN2
SCHEMBL17570885 0.82 LMNA (0.72) LMNAKMT2AMEN1ALDH1A1SMN1; SMN2
SCHEMBL29354280 0.79 LMNA (0.76) LMNAKMT2AMEN1ALDH1A1L3MBTL1
SCHEMBL29352141 0.79 LMNA (1.00) LMNAKMT2AMEN1ALDH1A1L3MBTL1
SCHEMBL18410747 0.79 LMNA (0.89) LMNAKMT2AMEN1ALDH1A1L3MBTL1
SCHEMBL8156569 0.79 HPGD (0.81) KMT2AHPGDMEN1ALDH1A1SMN1; SMN2
SCHEMBL7076666 0.77 LMNA (0.72) LMNAKMT2AMEN1ALDH1A1L3MBTL1
SCHEMBL751716 0.77 LMNA (0.72) LMNAKMT2AHPGDMEN1ALDH1A1

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 LMNA 2505/4885KMT2A 531/4885HPGD 1975/4885
US-20070249626-A1 Diaza heterocyclic amide compounds and their uses GPR119, GLP1R, INSR LMNA 2505/4885KMT2A 531/4885HPGD 1975/4885

“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.