SCHEMBL19985023

SCHEMBL19985023

Nc1ccc(C(=O)N2CCN(c3ccccc3)CC2c2ccccc2)cc1

nearest known ligand 0.47

Predicted protein targets (top 14)

geneUniProtsupporting neighboursconfidence
SLC6A9 P48067 6/20 0.47
EIF4A3 P38919 2/20 0.46
POLB P06746 2/20 0.44
MEN1 O00255 1/20 0.44
KMT2A Q03164 1/20 0.44
SLC6A7 Q99884 1/20 0.44
NR1H2 P55055 7/20 0.43
NR1H3 Q13133 7/20 0.43
CA12 O43570 1/20 0.42
CA1 P00915 1/20 0.42
CA2 P00918 1/20 0.42
CA7 P43166 1/20 0.42
CA9 Q16790 1/20 0.42
CA14 Q9ULX7 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
SCHEMBL19985024 0.84 SLC6A9 (0.43) SLC6A9EIF4A3NR1H2NR1H3CA12
SCHEMBL22055741 0.78 POLB (0.57) SLC6A9POLBMEN1KMT2ANR1H2
SCHEMBL19971958 0.76 MAPT (0.47) MEN1KMT2A
SCHEMBL1711050 0.75 MEN1 (0.74) POLBMEN1KMT2ASLC6A7CA12
SCHEMBL12698691 0.75 CA1 (0.48) CA1CA2CA9
SCHEMBL18436642 0.75 MEN1 (0.55) SLC6A9MEN1KMT2ANR1H2NR1H3
SCHEMBL7133590 0.72 RIPK1 (0.54) MEN1KMT2A
SCHEMBL19971955 0.72 P2RX7 (0.44) SLC6A9EIF4A3POLBNR1H2NR1H3
SCHEMBL2707267 0.71 SIGMAR1 (0.61) NR1H2NR1H3
SCHEMBL19562172 0.70 MEN1 (0.67) POLBMEN1KMT2ASLC6A7CA12

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20180079730-A1 ANTI-PCSK9 COMPOUNDS AND METHODS FOR THE TREATMENT AND/OR PREVENTION OF CARDIOVASCULAR DISEASES SHIFA BIOMEDICAL CORP (US) 2018-03-22 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-20180079730-A1 ANTI-PCSK9 COMPOUNDS AND METHODS FOR THE TREATMENT AND/OR PREVENTION OF CARDIOVASCULAR DISEASES PCSK9, PCSK7, PCSK6 SLC6A9 4318/4885EIF4A3 4688/4885POLB 3140/4885

“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.