SCHEMBL3579812

SCHEMBL3579812

CC1OC(=O)[C@@H](N)[C@H]1c1ccccc1

nearest known ligand 0.43

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
RAB9A P51151 1/20 0.40
SLC6A3 Q01959 1/20 0.40
MAPT P10636 2/20 0.39
KDM4E B2RXH2 1/20 0.39
POLB P06746 1/20 0.39
MEN1 O00255 1/20 0.36
TSHR P16473 1/20 0.36
KMT2A Q03164 1/20 0.36
LMNA P02545 1/20 0.35
TP53 P04637 1/20 0.35
CYP1A2 P05177 1/20 0.35
CYP3A4 P08684 1/20 0.35
MAPK1 P28482 1/20 0.35
HTR2B P41595 1/20 0.35
GAA P10253 1/20 0.35
CA2 P00918 1/20 0.34
ALDH1A1 P00352 1/20 0.34
CYP2D6 P10635 1/20 0.34
MAOA P21397 2/20 0.33
MAOB P27338 1/20 0.32

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
SCHEMBL5907251 1.00 RAB9A (0.40) RAB9ASLC6A3MAPTKDM4EPOLB
SCHEMBL5907233 1.00 RAB9A (0.40) RAB9ASLC6A3MAPTKDM4EPOLB
SCHEMBL3573756 1.00 RAB9A (0.40) RAB9ASLC6A3MAPTKDM4EPOLB
SCHEMBL17428207 0.74 MAOB (0.35) RAB9ASLC6A3MAPTKDM4EPOLB
SCHEMBL576924 0.72 BRD4 (0.43) RAB9ASLC6A3MEN1TSHRKMT2A
SCHEMBL13512979 0.71
SCHEMBL13502507 0.71
SCHEMBL3680601 0.71
SCHEMBL4847181 0.71
SCHEMBL14064983 0.71

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-20100048545-A1 Compounds and Compositions for Use in the Prevention and Treatment of Disorders of Fat Metabolism and Obesity INNODIA INC. (CA) 2010-02-25 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-20100048545-A1 Compounds and Compositions for Use in the Prevention and Treatment of Disorders of Fat Metabolism and Obesity LIPC, PC, LIPE RAB9A 2910/4885SLC6A3 2119/4885MAPT 3954/4885

“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.