SCHEMBL17197529

SCHEMBL17197529

O=c1c2cc(-c3ccccc3)ccc2n(-c2ccc(-c3ccc(F)cc3)cc2)c2ccc(-c3ccccc3)cc12

nearest known ligand 0.49

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ NR3C1 P04150 1/20 0.49
▸ JAK2 O60674 1/20 0.46
▸ JAK3 P52333 1/20 0.46
▸ METTL3 Q86U44 3/20 0.43
▸ METTL14 Q9HCE5 3/20 0.43
▸ KMT2A Q03164 2/20 0.39
▸ MEN1 O00255 1/20 0.39
▸ SLC6A7 Q99884 1/20 0.39
▸ PIK3CA P42336 1/20 0.39
▸ MTOR P42345 1/20 0.39
▸ MAPT P10636 1/20 0.39
▸ SERPINE1 P05121 1/20 0.38
▸ NPSR1 Q6W5P4 1/20 0.38
▸ RXFP1 Q9HBX9 1/20 0.38
▸ ATM Q13315 2/20 0.38
▸ KDM4E B2RXH2 2/20 0.38
▸ L3MBTL1 Q9Y468 2/20 0.38
▸ METAP2 P50579 1/20 0.38
▸ ALDH1A1 P00352 1/20 0.38
▸ TDP1 Q9NUW8 1/20 0.38

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
SCHEMBL17187569 0.92 ATM (0.44) NR3C1JAK2JAK3KMT2AMEN1
SCHEMBL31260656 0.92 ATM (0.44) NR3C1JAK2JAK3KMT2AMEN1
SCHEMBL15926018 0.91 NR3C1 (0.54) NR3C1JAK2JAK3METTL3METTL14
SCHEMBL16389542 0.89 ATM (0.48) JAK2JAK3KMT2AMEN1MAPT
SCHEMBL17197586 0.88 L3MBTL1 (0.48) KMT2AMEN1MAPTRXFP1ATM
SCHEMBL25671999 0.86 KDM4E (0.52) NR3C1JAK2JAK3METTL3METTL14
SCHEMBL18810824 0.85 L3MBTL1 (0.55) JAK2JAK3KMT2AMEN1MAPT
SCHEMBL13031249 0.84 L3MBTL1 (0.48) KMT2AMEN1MAPTRXFP1ATM
SCHEMBL17197462 0.84 NPSR1 (0.49) KMT2AMAPTNPSR1RXFP1ATM
SCHEMBL16727284 0.82 KDM4E (0.47) NR3C1JAK2JAK3METTL3METTL14

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-10374168-B2 Materials for electronic devices MERCK PATENT GMBH (DE) 2019-08-06 — — US disclosed
EP-3131901-B1 MATERIALS FOR ELECTRONIC DEVICES MERCK PATENT GMBH (DE) 2018-02-07 — — EP disclosed
US-20170125701-A1 MATERIALS FOR ELECTRONIC DEVICES MERCK PATENT GMBH (DE) 2017-05-04 — — US disclosed
US-20170125701-A1 MATERIALS FOR ELECTRONIC DEVICES MERCK PATENT GMBH (DE) 2017-05-04 — — US disclosed
WO-2015158411-A1 MATERIALS FOR ELECTRONIC DEVICES MERCK PATENT GMBH (DE) 2015-10-22 — — 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-20170125701-A1 MATERIALS FOR ELECTRONIC DEVICES HCN2, EFNA1, EED NR3C1 594/4885JAK2 2692/4885JAK3 2126/4885
US-10374168-B2 Materials for electronic devices HCN2, EFNA1, EED NR3C1 594/4885JAK2 2692/4885JAK3 2126/4885

“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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