SCHEMBL19405299

SCHEMBL19405299

CCCCCCC(CC)c1cnccc1C(F)(F)F

nearest known ligand 0.36

Predicted protein targets (top 9)

geneUniProtsupporting neighboursconfidence
NR1I2 O75469 1/20 0.36
KCNH2 Q12809 2/20 0.35
KCNA5 P22460 1/20 0.35
TDP1 Q9NUW8 1/20 0.33
L3MBTL1 Q9Y468 1/20 0.33
LIMK1 P53667 1/20 0.32
ALDH1A1 P00352 1/20 0.32
SCD O00767 1/20 0.30
SCD5 Q86SK9 1/20 0.30

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
SCHEMBL19697161 0.94 LIMK1 (0.33) KCNH2KCNA5TDP1L3MBTL1LIMK1
SCHEMBL19831937 0.88 KDM4E (0.37) LIMK1ALDH1A1SCDSCD5
SCHEMBL19406631 0.84 KCNH2 (0.36) KCNH2KCNA5TDP1L3MBTL1LIMK1
SCHEMBL19406662 0.83 TDP1 (0.34) NR1I2KCNH2KCNA5TDP1L3MBTL1
SCHEMBL26972097 0.80 NR1I2 (0.39) NR1I2KCNH2
SCHEMBL22260641 0.78 NR1I2 (0.38) NR1I2KCNH2KCNA5TDP1L3MBTL1
SCHEMBL22260121 0.78 NR1I2 (0.38) NR1I2KCNH2KCNA5TDP1L3MBTL1
SCHEMBL23219779 0.78 NR1I2 (0.38) NR1I2KCNH2KCNA5TDP1L3MBTL1
SCHEMBL21423150 0.78 CYP1A2 (0.39) NR1I2KCNH2
SCHEMBL22260101 0.75 NR1I2 (0.38) NR1I2KCNH2KCNA5TDP1L3MBTL1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20180030007-A1 ALLOSTERIC MODULATORS OF NICOTINIC ACETYLCHOLINE RECEPTORS MERCK SHARP & DOHME CORP. (US) 2018-02-01 US disclosed
US-20170275260-A1 ALLOSTERIC MODULATORS OF NICOTINIC ACETYLCHOLINE RECEPTORS MERCK SHARP & DOHME CORP. (US) 2017-09-28 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-20180030007-A1 ALLOSTERIC MODULATORS OF NICOTINIC ACETYLCHOLINE RECEPTORS CHRNA7, CHRNA5, CHRNA6 NR1I2 946/4885KCNH2 1353/4885KCNA5 1237/4885
US-20170275260-A1 ALLOSTERIC MODULATORS OF NICOTINIC ACETYLCHOLINE RECEPTORS CHRNA7, CHRNA5, CHRNA6 NR1I2 946/4885KCNH2 1353/4885KCNA5 1237/4885

“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.