SCHEMBL4155408

SCHEMBL4155408

COc1ccc(C=C2c3ccccc3CCc3ccccc32)cc1OC

nearest known ligand 0.69

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
MAPT P10636 10/20 0.69
ALDH1A1 P00352 7/20 0.69
KMT2A Q03164 6/20 0.69
LMNA P02545 5/20 0.69
SMN1; SMN2 Q16637 5/20 0.69
MEN1 O00255 4/20 0.69
CASP3 P42574 2/20 0.69
SENP8 Q96LD8 2/20 0.69
SENP7 Q9BQF6 2/20 0.69
SENP6 Q9GZR1 2/20 0.69
HPGD P15428 2/20 0.69
KDM4E B2RXH2 1/20 0.59
HTT P42858 3/20 0.54
POLB P06746 1/20 0.54
MIF P14174 1/20 0.54
ATM Q13315 1/20 0.52
TDP1 Q9NUW8 2/20 0.51
PLIN1 O60240 1/20 0.51
GAA P10253 1/20 0.51
MAPK1 P28482 1/20 0.51

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
SCHEMBL4160623 0.87 MAPT (0.54) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL4164625 0.87 MAPT (0.54) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL4172427 0.87 MAPT (0.54) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL4040966 0.87 MAPT (0.54) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL30967992 0.82 MAPT (1.00) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL8547897 0.82 MAPT (1.00) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL8547900 0.82 MAPT (1.00) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL25609318 0.82 MAPT (1.00) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL4162078 0.80 NR3C1 (0.62) MAPTALDH1A1KMT2ALMNASMN1; SMN2
SCHEMBL4163644 0.80 MAPT (0.47) MAPTALDH1A1KMT2ALMNASMN1; SMN2

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20090149445-A1 TRICYCLIC STEROID HORMONE NUCLEAR RECEPTOR MODULATORS COGHLAN MICHAEL JOSEPH 2009-06-11 US disclosed
US-20090149445-A1 TRICYCLIC STEROID HORMONE NUCLEAR RECEPTOR MODULATORS COGHLAN MICHAEL JOSEPH 2009-06-11 US disclosed
US-20090149445-A1 TRICYCLIC STEROID HORMONE NUCLEAR RECEPTOR MODULATORS COGHLAN MICHAEL JOSEPH 2009-06-11 US disclosed
US-7411072-B2 Tricyclic steroid hormone nuclear receptor modulators ELI LILLY AND COMPANY (US) 2008-08-12 US disclosed
US-7411072-B2 Tricyclic steroid hormone nuclear receptor modulators ELI LILLY AND COMPANY (US) 2008-08-12 US disclosed
US-7411072-B2 Tricyclic steroid hormone nuclear receptor modulators ELI LILLY AND COMPANY (US) 2008-08-12 US disclosed
US-20060063759-A1 Tricyclic steroid hormone nuclear receptor modulators ELI LILLY AND COMPANY 2006-03-23 US disclosed
EP-1519915-A2 TRICYCLIC STEROID HORMONE NUCLEAR RECEPTOR MODULATORS ELI LILLY AND COMPANY (US) 2005-04-06 EP disclosed
WO-2004052847-A2 TRICYCLIC STEROID HORMONE NUCLEAR RECEPTOR MODULATORS ELI LILLY AND COMPANY (US) 2004-06-24 WO disclosed
WO-2004052847-A2 TRICYCLIC STEROID HORMONE NUCLEAR RECEPTOR MODULATORS ELI LILLY AND COMPANY (US) 2004-06-24 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 (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-20090149445-A1 TRICYCLIC STEROID HORMONE NUCLEAR RECEPTOR MODULATORS NR5A1, NR3C2, NR3C1 MAPT 3591/4885ALDH1A1 1812/4885KMT2A 2460/4885
US-20060063759-A1 Tricyclic steroid hormone nuclear receptor modulators NR5A1, NR3C2, NR3C1 MAPT 3416/4885ALDH1A1 1728/4885KMT2A 2288/4885

“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.