SCHEMBL3026086

SCHEMBL3026086

Cc1cccc(-c2ccc(-c3ccc(-c4cccc(C)c4)c(C)c3C)cc2)c1

nearest known ligand 0.50

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
PGR P06401 1/20 0.50
ENPP3 O14638 2/20 0.46
MAPT P10636 1/20 0.45
PARP10 Q53GL7 1/20 0.45
PARP11 Q9NR21 1/20 0.45
NR3C2 P08235 1/20 0.44
ACHE P22303 1/20 0.44
PDK2 Q15119 1/20 0.44
FYN P06241 1/20 0.44
CLK4 Q9HAZ1 1/20 0.44
DYRK1B Q9Y463 1/20 0.44
CNR2 P34972 2/20 0.42
CNR1 P21554 1/20 0.42
HSD17B1 P14061 1/20 0.42
HSD17B2 P37059 1/20 0.42
FNTA P49354 1/20 0.41
FNTB P49356 1/20 0.41
MAP4K4 O95819 1/20 0.40
MAOB P27338 1/20 0.40
AR P10275 1/20 0.40

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
SCHEMBL6561397 0.84 ACHE (0.61) PGRENPP3ACHEFYNCLK4
SCHEMBL6300449 0.83 ESR2 (0.44) PGRENPP3MAPTPARP10PARP11
SCHEMBL27645045 0.83 NR3C2 (0.44) PGRPARP10PARP11NR3C2ACHE
SCHEMBL18797759 0.82 ACHE (0.65) PGRENPP3ACHEHSD17B1HSD17B2
SCHEMBL30645462 0.82 ENPP3 (0.53) PGRENPP3MAPTPARP10PARP11
SCHEMBL9876129 0.81 CNR2 (0.51) PGRENPP3MAPTACHEPDK2
SCHEMBL7776584 0.80 ESR2 (0.53) PGRENPP3MAPTPARP10PARP11
SCHEMBL23003863 0.80 ACHE (0.55) PGRENPP3ACHEFYNCLK4
SCHEMBL20689786 0.80 TSHR (0.55) PGRENPP3MAPTACHEPDK2
SCHEMBL5545442 0.80 ACHE (0.55) PGRENPP3ACHEFYNCLK4

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-11796534-B2 Methods for assessing cell surface glycosylation JUNO THERAPEUTICS, INC. (US) 2023-10-24 US disclosed
US-20210255173-A1 METHODS FOR ASSESSING CELL SURFACE GLYCOSYLATION JUNO THERAPEUTICS, INC. (US) 2021-08-19 US disclosed
US-10416166-B2 Rapid fluorescence tagging of glycans and other biomolecules with enhanced MS signals WATERS TECHNOLOGIES CORPORATION (US) 2019-09-17 US disclosed
US-20140242709-A1 RAPID FLUORESCENCE TAGGING OF GLYCANS AND OTHER BIOMOLECULES WITH ENHANCED MS SIGNALS WATERS TECHNOLOGIES CORPORATION (US) 2014-08-28 US disclosed
US-8475924-B2 Compositions and methods for creating electronic circuitry E.I. DU PONT DE NEMOURS AND COMPANY (US) 2013-07-02 US disclosed
US-8449949-B2 Compositions and methods for creating electronic circuitry E. I. DU PONT DE NEMOURS AND COMPANY (US) 2013-05-28 US disclosed
EP-2165582-B1 COMPOSITIONS AND METHODS FOR CREATING ELECTRONIC CIRCUITRY DU PONT (US) 2012-08-22 EP disclosed
US-20100181284-A1 METHOD OF OBTAINING ELECTRONIC CIRCUITRY FEATURES E. I. DU PONT DE NEMOURS AND COMPANY (US) 2010-07-22 US disclosed
US-20090226711-A1 Biaxially Oriented Nanocomposite Film, Method of Manufacture, and Articles Thereof GENERAL ELECTRIC COMPANY (US) 2009-09-10 US disclosed
US-20090017309-A1 COMPOSITIONS AND METHODS FOR CREATING ELECTRONIC CIRCUITRY E. I. DU PONT DE NEMOURS AND COMPANY (US) 2009-01-15 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-10416166-B2 Rapid fluorescence tagging of glycans and other biomolecules with enhanced MS signals FUT5, FUT6, CSGALNACT1 PGR 4665/4885ENPP3 1921/4885MAPT 2357/4885

“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.