SCHEMBL20150374

SCHEMBL20150374

N#Cc1ccc(-c2nc(-c3ccccc3)nc(-c3ccccc3)n2)cc1-n1c2ccc(-n3c4ccccc4c4ccccc43)cc2c2cc(-n3c4ccccc4c4ccccc43)ccc21

nearest known ligand 0.42

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
ALDH1A1 P00352 6/20 0.42
LMNA P02545 5/20 0.42
MAPK1 P28482 2/20 0.42
HPGD P15428 1/20 0.42
SMN1; SMN2 Q16637 1/20 0.42
KDM4E B2RXH2 3/20 0.36
ATM Q13315 1/20 0.36
L3MBTL1 Q9Y468 1/20 0.36
RAC2 P15153 1/20 0.35
RAC3 P60763 1/20 0.35
CDC42 P60953 1/20 0.35
RAC1 P63000 1/20 0.35
HTT P42858 1/20 0.35
RXFP1 Q9HBX9 1/20 0.35
THRB P10828 1/20 0.35
CYP1A2 P05177 4/20 0.35
MEN1 O00255 3/20 0.35
CYP3A4 P08684 3/20 0.35
KMT2A Q03164 3/20 0.35
CYP2C19 P33261 2/20 0.35

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
SCHEMBL20115135 1.00 ALDH1A1 (0.42) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL19953866 0.94 ALDH1A1 (0.37) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL20938322 0.93 ALDH1A1 (0.40) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL20938173 0.93 ALDH1A1 (0.40) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL20114647 0.93 ALDH1A1 (0.40) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL20114522 0.92 CYP11B1 (0.37) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL25904413 0.91 KDM4E (0.42) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL20150336 0.90 ALDH1A1 (0.40) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL22243157 0.90 ALDH1A1 (0.39) ALDH1A1LMNAMAPK1HPGDSMN1; SMN2
SCHEMBL22242967 0.90 ALDH1A1 (0.39) ALDH1A1LMNAMAPK1HPGDSMN1; 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 3 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-10421746-B2 Organic molecules, especially for use in organic optoelectronic devices CYNORA GMBH (DE) 2019-09-24 US disclosed
US-20180134686-A1 ORGANIC MOLECULES, ESPECIALLY FOR USE IN ORGANIC OPTOELECTRONIC DEVICES CYNORA GMBH (DE) 2018-05-17 US disclosed
US-20180134686-A1 ORGANIC MOLECULES, ESPECIALLY FOR USE IN ORGANIC OPTOELECTRONIC DEVICES CYNORA GMBH (DE) 2018-05-17 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-20180134686-A1 ORGANIC MOLECULES, ESPECIALLY FOR USE IN ORGANIC OPTOELECTRONIC DEVICES OR10J3, EPCAM, F12 ALDH1A1 387/4885LMNA 3586/4885MAPK1 1664/4885
US-10421746-B2 Organic molecules, especially for use in organic optoelectronic devices OR10J3, EPCAM, F12 ALDH1A1 387/4885LMNA 3586/4885MAPK1 1664/4885

“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.