SCHEMBL17440547

SCHEMBL17440547

COc1ccc(C=CCO[Si](C)(C)C(C)(C)C)cc1

nearest known ligand 0.50

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
KDM4E B2RXH2 3/20 0.45
CYP1A2 P05177 3/20 0.45
CYP3A4 P08684 2/20 0.45
NPC1 O15118 1/20 0.45
CYP2D6 P10635 1/20 0.45
CYP2C9 P11712 1/20 0.45
HPGD P15428 1/20 0.45
CYP2C19 P33261 1/20 0.45
RAB9A P51151 1/20 0.45
SMN1; SMN2 Q16637 1/20 0.45
LMNA P02545 2/20 0.44
TP53 P04637 1/20 0.44
TSHR P16473 1/20 0.44
ALDH1A1 P00352 1/20 0.44
TRPA1 O75762 1/20 0.43
RELA Q04206 1/20 0.43
MAPT P10636 1/20 0.42
CYP1A1 P04798 3/20 0.42
CYP1B1 Q16678 3/20 0.42
ESR1 P03372 2/20 0.42

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
SCHEMBL16773339 1.00 KDM4E (0.45) KDM4ECYP1A2CYP3A4NPC1CYP2D6
SCHEMBL6322494 0.85 KDM4E (0.42) KDM4ECYP1A2CYP3A4NPC1CYP2D6
SCHEMBL6322485 0.85 KDM4E (0.42) KDM4ECYP1A2CYP3A4NPC1CYP2D6
SCHEMBL6493624 0.83 BACE1 (0.36) KDM4ECYP1A2CYP3A4CYP2D6CYP2C9
SCHEMBL6493621 0.83 BACE1 (0.36) KDM4ECYP1A2CYP3A4CYP2D6CYP2C9
SCHEMBL21960080 0.82 PPARA (0.41) KDM4ECYP1A2CYP3A4NPC1CYP2D6
SCHEMBL7395928 0.82 IDO1 (0.55)
SCHEMBL29566039 0.82 IDO1 (0.55)
SCHEMBL7395933 0.82 IDO1 (0.55)
SCHEMBL22382771 0.77 KDM4E (0.50) KDM4ECYP1A2CYP3A4NPC1CYP2D6

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
EP-2859002-B1 SILICON-BASED CROSS COUPLING AGENTS AND METHODS OF THEIR USE UNIV PENNSYLVANIA (US) 2020-12-30 EP disclosed
US-9850261-B2 Silicon-based cross coupling agents and methods of their use THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA (US) 2017-12-26 US disclosed
US-20170210766-A1 SILICON-BASED CROSS COUPLING AGENTS AND METHODS OF THEIR USE NATIONAL INSTITUTES OF HEALTH (NIH), U.S. DEPT. OF HEALTH AND HUMAN SERVICES (DHHS), U.S. GOVERNMENT 2017-07-27 US disclosed
US-9499660-B2 Silicon-based cross coupling agents and methods of their use THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA (US) 2016-11-22 US disclosed
WO-2016011231-A1 SILICON-BASED CROSS COUPLING AGENTS AND METHODS OF THEIR USE THE TRUSTEES OF THE UNIVERSITY OF PENNSYLVANIA (US) 2016-01-21 WO 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-20170210766-A1 SILICON-BASED CROSS COUPLING AGENTS AND METHODS OF THEIR USE RAD51, CA1, DCLRE1A KDM4E 4034/4885CYP1A2 4580/4885CYP3A4 4797/4885

“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.