SCHEMBL4284101

SCHEMBL4284101

CCc1cc(-c2nc(-c3ccc(Cl)cc3)cs2)ccn1

nearest known ligand 0.81

Predicted protein targets (top 12)

geneUniProtsupporting neighboursconfidence
SREBF2 Q12772 14/20 0.81
MAPT P10636 3/20 0.79
ATM Q13315 3/20 0.79
KDM4E B2RXH2 3/20 0.79
LMNA P02545 3/20 0.79
SREBF1 P36956 2/20 0.78
L3MBTL1 Q9Y468 2/20 0.62
ALDH1A1 P00352 1/20 0.62
RECQL P46063 1/20 0.60
RAB9A P51151 1/20 0.58
SMN1; SMN2 Q16637 1/20 0.58
CYP19A1 P11511 1/20 0.56

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
SCHEMBL4290927 0.90 SREBF2 (1.00) SREBF2MAPTATMKDM4ELMNA
SCHEMBL4279559 0.88 SREBF2 (1.00) SREBF2MAPTATMKDM4ELMNA
SCHEMBL6329780 0.80 SREBF2 (0.68) SREBF2MAPTATMKDM4ELMNA
SCHEMBL13273291 0.79 SREBF2 (0.50) SREBF2MAPTATMKDM4ELMNA
SCHEMBL5463582 0.78 CDK5 (0.72) SREBF2MAPTATMKDM4ELMNA
Fatostatin SCHEMBL2742732 0.77 SREBF2 (1.00) SREBF2MAPTATMKDM4ELMNA
Fatostatin SCHEMBL29458338 0.77 SREBF2 (1.00) SREBF2MAPTATMKDM4ELMNA
SCHEMBL6202837 0.77 SREBF2 (0.60) SREBF2MAPTATMKDM4ELMNA
SCHEMBL11466217 0.77 KDM4E (0.86) SREBF2MAPTATMKDM4ELMNA
SCHEMBL4288928 0.77 SREBF2 (0.78) SREBF2MAPTATMKDM4ELMNA

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
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
CN-101674730-A The composition and the method that are used for the treatment of metabolic disease BAYLOR COLLEGE MEDICINE 2010-03-17 CN 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-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
CN-101674730-A The composition and the method that are used for the treatment of metabolic disease BAYLOR COLLEGE MEDICINE 2010-03-17 CN 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 1767/4885MAPT 4275/4885ATM 892/4885
US-20180291013-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC AND RELATED DISORDERS FABP4, LIPC, PNLIP SREBF2 17/4885MAPT 3356/4885ATM 1467/4885
US-20130012538-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 31/4885MAPT 3510/4885ATM 1753/4885
US-20130005768-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 31/4885MAPT 3510/4885ATM 1753/4885
US-20160257675-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 31/4885MAPT 3510/4885ATM 1753/4885
US-20090131475-A1 COMPOSITIONS AND METHODS FOR THE TREATMENT OF METABOLIC DISORDERS FABP4, LIPC, FABP1 SREBF2 32/4885MAPT 3438/4885ATM 1694/4885

“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.