SCHEMBL12395555

SCHEMBL12395555

C=CCCCCCCCCC1OC(=O)C1CCCCCCCC=C

nearest known ligand 0.69

Predicted protein targets (top 19)

geneUniProtsupporting neighboursconfidence
DAGLA Q9Y4D2 4/20 0.44
LYPLA1 O75608 5/20 0.43
LYPLA2 O95372 5/20 0.43
PLA2G6 O60733 2/20 0.41
PLA2G4A P47712 1/20 0.41
MGLL Q99685 1/20 0.38
PRKCA P17252 3/20 0.38
ABHD16A O95870 1/20 0.37
ABCC4 O15439 1/20 0.37
MAPT P10636 1/20 0.37
CNR1 P21554 2/20 0.36
PRKD3 O94806 1/20 0.35
PRKCG P05129 1/20 0.35
PRKCB P05771 1/20 0.35
PRKCH P24723 1/20 0.35
PRKCE Q02156 1/20 0.35
PRKCQ Q04759 1/20 0.35
PRKCD Q05655 1/20 0.35
PRKD1 Q15139 1/20 0.35

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
SCHEMBL16551913 0.90 PLA2G6 (0.54) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL12370966 0.88 LYPLA1 (0.52) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL16194493 0.85 PLA2G6 (0.62) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL16194492 0.85 PLA2G6 (0.62) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL12370960 0.83 PLA2G6 (0.60) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL16201802 0.83 PLA2G6 (0.60) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL16201817 0.83 PLA2G6 (0.56) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL15012623 0.81 PLA2G6 (0.51) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL16201811 0.81 PLA2G6 (0.51) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A
SCHEMBL15012624 0.81 PLA2G6 (0.51) DAGLALYPLA1LYPLA2PLA2G6PLA2G4A

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-9521845-B2 Beta-lactones as antibacterial agents LUDWIG-MAXIMILIANS-UNIVERSITÄT-MÜNCHEN (DE) 2016-12-20 US disclosed
US-20140163094-A1 BETA-LACTONES AS ANTIBACTERIAL AGENTS LUDWIG-MAXIMILIANS-UNIVERSITAT MUNCHEN (DE) 2014-06-12 US disclosed
US-8669283-B2 Beta-lactones as antibacterial agents LUDWIG-MAXIMILIANS-UNIVERSITAT MUNCHEN (DE) 2014-03-11 US disclosed
US-8563598-B2 2013-10-22 US disclosed
US-20110196027-A1 BETA-LACTONES AS ANTIBACTERIAL AGENTS LUDWIG-MAXIMILIANS-UNIVERSITAT MUNCHEN 2011-08-11 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-20140163094-A1 BETA-LACTONES AS ANTIBACTERIAL AGENTS ALG8, PGLS, GLA DAGLA 219/4885LYPLA1 651/4885LYPLA2 1208/4885
US-20110196027-A1 BETA-LACTONES AS ANTIBACTERIAL AGENTS ALG8, PGLS, GLA DAGLA 219/4885LYPLA1 651/4885LYPLA2 1208/4885

“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.