SCHEMBL17380960

SCHEMBL17380960

CC1(C)c2cc3c(cc2-c2cc4c5ccccc5n(-c5nc(-c6ccccc6)cc(-c6ccccc6)n5)c4cc21)c1ccccc1n3-c1nc(-c2ccccc2)cc(-c2ccccc2)n1

nearest known ligand 0.36

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ MAPT P10636 7/20 0.36
▸ L3MBTL1 Q9Y468 5/20 0.36
▸ KDM4E B2RXH2 5/20 0.36
▸ MAPK1 P28482 3/20 0.36
▸ NPSR1 Q6W5P4 2/20 0.36
▸ MEN1 O00255 7/20 0.34
▸ KMT2A Q03164 7/20 0.34
▸ TDP1 Q9NUW8 3/20 0.34
▸ TSHR P16473 2/20 0.34
▸ ATM Q13315 2/20 0.34
▸ HPGD P15428 6/20 0.33
▸ ALDH1A1 P00352 5/20 0.33
▸ SMN1; SMN2 Q16637 4/20 0.33
▸ LMNA P02545 3/20 0.33
▸ ADORA1 P30542 3/20 0.33
▸ ADORA2A P29274 2/20 0.33
▸ ACACA Q13085 1/20 0.33
▸ HTT P42858 1/20 0.33
▸ CYP1A2 P05177 1/20 0.33
▸ CYP2C9 P11712 1/20 0.33

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
SCHEMBL783565 0.95 MAPT (0.34) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL23376410 0.95 L3MBTL1 (0.41) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL16978582 0.93 MAPT (0.33) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL19104499 0.93 MAPT (0.33) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL16978573 0.93 MAPT (0.33) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL16406803 0.92 KDM4E (0.35) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL1079319 0.91 MAPT (0.34) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL17345860 0.90 CAMK2D (0.32) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL18505384 0.90 CAMK2D (0.32) MAPTL3MBTL1KDM4EMAPK1NPSR1
SCHEMBL16940930 0.90 MAPT (0.35) MAPTL3MBTL1KDM4EMAPK1NPSR1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-10847727-B2 Compositions for electronic devices MERCK PATENT GMBH (DE) 2020-11-24 — — US disclosed
US-20170141328-A1 COMPOSITIONS FOR ELECTRONIC DEVICES MERCK PATENT GMBH (DE) 2017-05-18 — — US disclosed
US-20170141328-A1 COMPOSITIONS FOR ELECTRONIC DEVICES MERCK PATENT GMBH (DE) 2017-05-18 — — US disclosed
WO-2015192941-A1 COMPOSITIONS FOR ELECTRONIC DEVICES MERCK PATENT GMBH (DE) 2015-12-23 — — 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-20170141328-A1 COMPOSITIONS FOR ELECTRONIC DEVICES EFNA1, EPHA6, EPHB6 MAPT 1440/4885L3MBTL1 3540/4885KDM4E 2520/4885
US-10847727-B2 Compositions for electronic devices EFNA1, EPHA6, EPHB6 MAPT 1440/4885L3MBTL1 3540/4885KDM4E 2520/4885

“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.

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