SCHEMBL17495247

SCHEMBL17495247

Nc1ccc(N(Cc2ccccn2)Cc2ccccn2)cc1

nearest known ligand 0.54

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
L3MBTL1 Q9Y468 2/20 0.54
TDP1 Q9NUW8 2/20 0.52
MAPT P10636 1/20 0.52
SMN1; SMN2 Q16637 1/20 0.52
LIN28A Q9H9Z2 1/20 0.52
MAOA P21397 1/20 0.51
MAOB P27338 1/20 0.51
NR1H2 P55055 2/20 0.49
NR1H3 Q13133 2/20 0.49
HRH1 P35367 1/20 0.48
PRMT1 Q99873 1/20 0.45
CHRNA7 P36544 5/20 0.44
KCNA5 P22460 1/20 0.44
KMT2A Q03164 1/20 0.42
CYP3A4 P08684 2/20 0.42
PSMD14 O00487 1/20 0.42
ALDH1A1 P00352 1/20 0.42
TSHR P16473 1/20 0.42
MAPK1 P28482 1/20 0.42
RECQL P46063 1/20 0.42

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
SCHEMBL30097972 1.00 L3MBTL1 (0.54) L3MBTL1TDP1MAPTSMN1; SMN2LIN28A
SCHEMBL18157925 0.85 SMN1; SMN2 (0.59) TDP1MAPTSMN1; SMN2LIN28AMAOA
SCHEMBL29777383 0.85 SMN1; SMN2 (0.59) TDP1MAPTSMN1; SMN2LIN28AMAOA
SCHEMBL2886500 0.83 L3MBTL1 (0.51) L3MBTL1TDP1MAPTSMN1; SMN2LIN28A
SCHEMBL15489522 0.82 CYP2C19 (0.55) L3MBTL1TDP1MAPTSMN1; SMN2LIN28A
SCHEMBL3404091 0.79 CA2 (0.56) TDP1MAPTSMN1; SMN2LIN28ANR1H2
SCHEMBL3716240 0.79 L3MBTL1 (0.47) L3MBTL1TDP1MAPTSMN1; SMN2LIN28A
SCHEMBL14022292 0.78 MAPT (0.47) L3MBTL1TDP1MAPTSMN1; SMN2LIN28A
SCHEMBL16000559 0.78 NR1H2 (0.59) TDP1MAPTSMN1; SMN2LIN28AMAOA
SCHEMBL30977271 0.78 ALDH1A1 (0.56) L3MBTL1TDP1MAPTSMN1; SMN2LIN28A

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
EP-3362518-B1 SENSOR DYES FOR REAL-TIME SENSING OF METAL IONS IN AQUEOUS ENVIRONMENTS THE UWM RES FOUNDATION INC (US) 2022-04-27 EP disclosed
US-10167397-B2 Method to determine connector metal wear via fluorescence INTERNATIONAL BUSINESS MACHINES CORPORATION (US) 2019-01-01 US disclosed
US-20180095038-A1 METHOD TO DETERMINE CONNECTOR METAL WEAR VIA FLOURESENCE INTERNATIONAL BUSINESS MACHINES CORPORATION 2018-04-05 US disclosed
US-20180095038-A1 METHOD TO DETERMINE CONNECTOR METAL WEAR VIA FLOURESENCE INTERNATIONAL BUSINESS MACHINES CORPORATION 2018-04-05 US disclosed
US-9885659-B1 Method to determine connector metal wear via flouresence INTERNATIONAL BUSINESS MACHINES CORPORATION (US) 2018-02-06 US disclosed
US-9885659-B1 Method to determine connector metal wear via flouresence INTERNATIONAL BUSINESS MACHINES CORPORATION (US) 2018-02-06 US disclosed
US-20160047748-A1 FLUORESCENT PROBE THE UNIVERSITY OF TOKYO (JP) 2016-02-18 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 (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-20160047748-A1 FLUORESCENT PROBE SLCO2A1, SLCO1B1, SLCO2B1 L3MBTL1 1990/4885TDP1 2964/4885MAPT 3119/4885

“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.