SCHEMBL4292330

SCHEMBL4292330

CCCc1cc(-c2nc(-c3cccc(OC)c3)cs2)ccn1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Predicted protein targets (top 9)

geneUniProtsupporting neighboursconfidence
SREBF2 Q12772 15/20 1.00
CYP19A1 P11511 1/20 0.63
MAPT P10636 3/20 0.63
ATM Q13315 3/20 0.63
L3MBTL1 Q9Y468 2/20 0.63
ALDH1A1 P00352 1/20 0.63
KDM4E B2RXH2 2/20 0.61
LMNA P02545 2/20 0.61
RECQL P46063 1/20 0.61

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
SCHEMBL4292767 0.87 SREBF2 (1.00) SREBF2MAPTATML3MBTL1ALDH1A1
SCHEMBL4283881 0.84 SREBF2 (1.00) SREBF2MAPTATML3MBTL1ALDH1A1
SCHEMBL1180783 0.84 CYP19A1 (0.76) SREBF2CYP19A1MAPTATMALDH1A1
SCHEMBL4281169 0.84 SREBF2 (1.00) SREBF2CYP19A1MAPTATML3MBTL1
SCHEMBL4293667 0.83 SREBF2 (0.69) SREBF2MAPTATML3MBTL1ALDH1A1
SCHEMBL4279415 0.80 SREBF2 (1.00) SREBF2CYP19A1MAPTATML3MBTL1
Fatostatin SCHEMBL2742732 0.78 SREBF2 (1.00) SREBF2MAPTATML3MBTL1ALDH1A1
Fatostatin SCHEMBL29458338 0.78 SREBF2 (1.00) SREBF2MAPTATML3MBTL1ALDH1A1
SCHEMBL19758233 0.78 SREBF2 (0.90) SREBF2MAPTATML3MBTL1ALDH1A1
SCHEMBL12844174 0.78 SREBF2 (0.63) SREBF2CYP19A1MAPTALDH1A1LMNA

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 33 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-2120580-B1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE MEDICINE (US) 2017-12-27 EP claimed
US-8927578-B2 Compositions and methods for the treatment of metabolic disorders BAYLOR COLLEGE OF MEDICINE (US) 2015-01-06 US claimed
US-8778976-B2 Compositions and methods for the treatment of metabolic disorders BAYLOR COLLEGE OF MEDICINE (US) 2014-07-15 US claimed
US-20130012538-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2013-01-10 US claimed
US-20130005768-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2013-01-03 US claimed
US-8207196-B2 Compositions and methods for the treatment of metabolic disorders BAYLOR COLLEGE OF MEDICINE (US) 2012-06-26 US claimed
EP-2120580-A2 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS Baylor College Of Medicine (US) 2009-11-25 EP claimed
US-20090131475-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2009-05-21 US claimed
WO-2008097835-A2 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2008-08-14 WO claimed
US-20180291013-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC AND RELATED DISORDERS BAYLOR COLLEGE OF MEDICINE 2018-10-11 US disclosed
US-20180071289-A1 METHODS AND COMPOSITIONS FOR THE TREATMENT OF CANCER AND RELATED HYPERPROLIFERATIVE DISORDERS UESUGI MOTONARI (JP) 2018-03-15 US disclosed
EP-2120580-B1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE MEDICINE (US) 2017-12-27 EP disclosed
US-9713613-B2 Methods and compositions for the treatment of cancer and related hyperproliferative disorders BAYLOR COLLEGE OF MEDICINE 2017-07-25 US disclosed
US-20160257675-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE MEDICINE (US) 2016-09-08 US disclosed
US-20130012538-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2013-01-10 US disclosed
US-20130005768-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2013-01-03 US disclosed
US-8207196-B2 Compositions and methods for the treatment of metabolic disorders BAYLOR COLLEGE OF MEDICINE (US) 2012-06-26 US disclosed
EP-2120580-A2 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS Baylor College Of Medicine (US) 2009-11-25 EP disclosed
US-20090131475-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2009-05-21 US disclosed
WO-2008097835-A2 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS BAYLOR COLLEGE OF MEDICINE (US) 2008-08-14 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 (6 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-20180071289-A1 METHODS AND COMPOSITIONS FOR THE TREATMENT OF CANCER AND RELATED HYPERPROLIFERATIVE DISORDERS HCCS, PCNA, MKI67 SREBF2 1767/4885CYP19A1 1216/4885MAPT 4275/4885
US-20180291013-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC AND RELATED DISORDERS FABP4, LIPC, PNLIP SREBF2 17/4885CYP19A1 178/4885MAPT 3356/4885
US-20130012538-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 31/4885CYP19A1 186/4885MAPT 3510/4885
US-20130005768-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 31/4885CYP19A1 186/4885MAPT 3510/4885
US-20160257675-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 31/4885CYP19A1 186/4885MAPT 3510/4885
US-20090131475-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 32/4885CYP19A1 185/4885MAPT 3438/4885

“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.