SCHEMBL14924767

SCHEMBL14924767

CCCCCCCCCCCCCCOCC(CNC(=O)OCCOCCOC(C)C)OCCCCCCCCCCCCCC

nearest known ligand 0.56

Predicted protein targets (top 3)

geneUniProtsupporting neighboursconfidence
TLR2 O60603 16/20 0.56
LPAR1 Q92633 2/20 0.44
LPAR3 Q9UBY5 2/20 0.44

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
SCHEMBL14950501 0.90 TLR2 (0.58) TLR2LPAR1LPAR3
SCHEMBL14924383 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL15071438 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL18057125 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL18057124 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL14924385 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL11304197 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL10819300 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL25515284 0.89 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL24470621 0.87 TLR2 (0.64) TLR2LPAR1LPAR3

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20200282060-A1 NOVEL CATIONIC LIPIDS AND METHODS OF USE THEREOF ARBUTUS BIOPHARMA CORPORATION (CA) 2020-09-10 US disclosed
US-20170151333-A1 NOVEL CATIONIC LIPIDS AND METHODS OF USE THEREOF PROTIVA BIOTHERAPEUTICS, INC. (CA) 2017-06-01 US disclosed
US-20130123338-A1 NOVEL CATIONIC LIPIDS AND METHODS OF USE THEREOF PROTIVA BIOTHERAPEUTICS, INC. (CA) 2013-05-16 US disclosed
US-20130116307-A1 NOVEL CYCLIC CATIONIC LIPIDS AND METHODS OF USE PROTIVA BIOTHERAPEUTICS INC. (CA) 2013-05-09 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 (4 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-20130116307-A1 NOVEL CYCLIC CATIONIC LIPIDS AND METHODS OF USE LDLR, CETP, ABHD16A TLR2 1612/4885LPAR1 26/4885LPAR3 12/4885
US-20130123338-A1 NOVEL CATIONIC LIPIDS AND METHODS OF USE THEREOF PLIN3, CETP, LDLR TLR2 1362/4885LPAR1 68/4885LPAR3 34/4885
US-20200282060-A1 NOVEL CATIONIC LIPIDS AND METHODS OF USE THEREOF PLIN3, CETP, LDLR TLR2 1362/4885LPAR1 68/4885LPAR3 34/4885
US-20170151333-A1 NOVEL CATIONIC LIPIDS AND METHODS OF USE THEREOF PLIN3, CETP, LDLR TLR2 1362/4885LPAR1 68/4885LPAR3 34/4885

“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.