Sugi Predict

Sugi Predict / Compounds / SCHEMBL10028088

SCHEMBL10028088

SCHEMBL10028088

c1ccc2c(-c3cc4ccc5oc6cc(-c7cccc8ccccc78)cc7ccc8oc(c3)c4c5-c8c76)cccc2c1

nearest known ligand 0.40

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
▸ MEN1 O00255 2/20 0.40
▸ MAPT P10636 2/20 0.40
▸ KMT2A Q03164 2/20 0.40
▸ ALDH1A1 P00352 2/20 0.40
▸ HSD17B10 Q99714 2/20 0.40
▸ HPGD P15428 1/20 0.40
▸ AHR P35869 4/20 0.39
▸ CYP1A2 P05177 2/20 0.39
▸ PAX8 Q06710 2/20 0.39
▸ CYP1A1 P04798 1/20 0.39
▸ FYN P06241 1/20 0.39
▸ MAPK3 P27361 1/20 0.39
▸ ABCG2 Q9UNQ0 1/20 0.39
▸ CYP2C19 P33261 2/20 0.39
▸ MAOA P21397 1/20 0.39
▸ MAOB P27338 1/20 0.39
▸ TP53 P04637 1/20 0.39
▸ CYP3A4 P08684 1/20 0.39
▸ CYP2D6 P10635 1/20 0.39
▸ CYP2C9 P11712 1/20 0.39

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
SCHEMBL10028196 0.93 MAOA (0.38) MEN1MAPTKMT2AALDH1A1HSD17B10
SCHEMBL10028197 0.91 AHR (0.38) MEN1MAPTKMT2AALDH1A1HSD17B10
SCHEMBL10028203 0.83 CYP1A2 (0.39) MEN1MAPTKMT2AALDH1A1HSD17B10
SCHEMBL10028081 0.83 PGR (0.39) MEN1KMT2AALDH1A1AHRCYP1A2
SCHEMBL10028086 0.82 CYP1A2 (0.37) MAPTKMT2AALDH1A1HSD17B10HPGD
SCHEMBL10028089 0.82 AHR (0.37) HPGDAHRCYP1A2PAX8CYP1A1
SCHEMBL10028189 0.80 CYP1A2 (0.36) MEN1KMT2AALDH1A1HSD17B10HPGD
SCHEMBL24236143 0.80 ENPP3 (0.38) MEN1MAPTKMT2AALDH1A1HSD17B10
SCHEMBL10028146 0.80 MCL1 (0.38) MEN1MAPTKMT2AALDH1A1HSD17B10
SCHEMBL10028082 0.80 CTSD (0.40) MEN1MAPTKMT2AALDH1A1HSD17B10

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-2046915-B1 NEW MATERIALS FOR ORGANIC ELECTROLUMINESCENT DEVICES MERCK PATENT GMBH (DE) 2015-12-02 — — EP disclosed
US-8114531-B2 Materials for organic electroluminescent devices MERCK PATENT GMBH (DE) 2012-02-14 — — US disclosed
US-8114531-B2 Materials for organic electroluminescent devices MERCK PATENT GMBH (DE) 2012-02-14 — — US disclosed
US-20100013381-A1 NOVEL MATERIALS FOR ORGANIC ELECTROLUMINESCENT DEVICES MERCK PATENT GMBH (DE) 2010-01-21 — — US disclosed
US-20100013381-A1 NOVEL MATERIALS FOR ORGANIC ELECTROLUMINESCENT DEVICES MERCK PATENT GMBH (DE) 2010-01-21 — — US disclosed
WO-2008011964-A1 NEW MATERIALS FOR ORGANIC ELECTROLUMINESCENT DEVICES MERCK PATENT GMBH (DE) 2008-01-31 — — 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 (1 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-20100013381-A1 NOVEL MATERIALS FOR ORGANIC ELECTROLUMINESCENT DEVICES L1CAM, SOD1, SLC40A1 MEN1 1130/4885MAPT 567/4885KMT2A 3703/4885

“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.