SCHEMBL14924385

SCHEMBL14924385

CCCCCCCCCCCCCCOCC(CNC(=O)OCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCOCCO)OCCCCCCCCCCCCCC

nearest known ligand 0.57

Predicted protein targets (top 9)

geneUniProtsupporting neighboursconfidence
TLR2 O60603 10/20 0.57
MEN1 O00255 1/20 0.50
THRB P10828 1/20 0.50
HTT P42858 1/20 0.50
KMT2A Q03164 1/20 0.50
MAPT P10636 1/20 0.50
LPAR1 Q92633 2/20 0.45
LPAR3 Q9UBY5 2/20 0.45
ACHE P22303 6/20 0.45

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
SCHEMBL14924383 1.00 TLR2 (0.57) TLR2MEN1THRBHTTKMT2A
SCHEMBL15071438 0.95 TLR2 (0.57) TLR2LPAR1LPAR3ACHE
SCHEMBL14950501 0.91 TLR2 (0.58) TLR2LPAR1LPAR3
SCHEMBL18057125 0.90 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL10819300 0.90 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL18057124 0.90 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL11304197 0.90 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL25515284 0.90 TLR2 (0.57) TLR2LPAR1LPAR3
SCHEMBL14924767 0.89 TLR2 (0.56) TLR2LPAR1LPAR3
SCHEMBL24470621 0.88 TLR2 (0.64) TLR2LPAR1LPAR3ACHE

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20170152516-A1 METHOD OF PRODUCING LIPID NANOPARTICLES FOR DRUG DELIVERY NITTO DENKO CORPORATION (JP) 2017-06-01 US disclosed
US-20170152516-A1 METHOD OF PRODUCING LIPID NANOPARTICLES FOR DRUG DELIVERY NITTO DENKO CORPORATION (JP) 2017-06-01 US disclosed
US-9579338-B2 Method of producing lipid nanoparticles for drug delivery NITTO DENKO CORPORATION (JP) 2017-02-28 US disclosed
US-9579338-B2 Method of producing lipid nanoparticles for drug delivery NITTO DENKO CORPORATION (JP) 2017-02-28 US disclosed
US-8956572-B2 Single use system for sterilely producing lipid-nucleic acid particles NITTO DENKO CORPORATION (JP) 2015-02-17 US disclosed
US-8956572-B2 Single use system for sterilely producing lipid-nucleic acid particles NITTO DENKO CORPORATION (JP) 2015-02-17 US disclosed
US-20130115274-A1 METHOD OF PRODUCING LIPID NANOPARTICLES FOR DRUG DELIVERY NITTO DENKO CORPORATION (JP) 2013-05-09 US disclosed
US-20130115274-A1 METHOD OF PRODUCING LIPID NANOPARTICLES FOR DRUG DELIVERY NITTO DENKO CORPORATION (JP) 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 (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-20130115274-A1 METHOD OF PRODUCING LIPID NANOPARTICLES FOR DRUG DELIVERY PHOSPHO1, LIPA, LIPC TLR2 4529/4885MEN1 1326/4885THRB 4540/4885
US-20170152516-A1 METHOD OF PRODUCING LIPID NANOPARTICLES FOR DRUG DELIVERY PHOSPHO1, LIPA, LIPC TLR2 4529/4885MEN1 1326/4885THRB 4540/4885

“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.