SCHEMBL1629344

SCHEMBL1629344

Oc1ccc(C23CCCC(F)(F)CC2Oc2cccc(F)c23)cc1F

nearest known ligand 0.34

Predicted protein targets (top 2)

geneUniProtsupporting neighboursconfidence
RXRA P19793 1/20 0.34
DHFR P00374 1/20 0.31

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
SCHEMBL1630425 0.94 DHFR (0.33) RXRADHFR
SCHEMBL1628876 0.90 DHFR (0.33) RXRADHFR
SCHEMBL22882302 0.90 RXRA (0.32) RXRA
SCHEMBL15061019 0.90 RXRA (0.34) RXRA
SCHEMBL1629265 0.87 ESR1 (0.31)
SCHEMBL1629092 0.84 DHFR (0.35) RXRADHFR
SCHEMBL1628871 0.84 RXRA (0.45) RXRADHFR
SCHEMBL1630531 0.81 ESR1 (0.33)
SCHEMBL1629059 0.81 RXRA (0.35) RXRADHFR
SCHEMBL1630290 0.78 MAOA (0.35) RXRA

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-10758496-B2 Estrogen receptor ligand treatment for neurodegenerative diseases THE REGENTS OF THE UNIVERSITY OF CALIFORNIA (US) 2020-09-01 US disclosed
US-20170304216-A1 ESTROGEN RECEPTOR LIGAND TREATMENT FOR NEURODEGENERATIVE DISEASES THE REGENTS OF THE UNIVERSITY OF CALIFORNIA 2017-10-26 US disclosed
US-20170304216-A1 ESTROGEN RECEPTOR LIGAND TREATMENT FOR NEURODEGENERATIVE DISEASES THE REGENTS OF THE UNIVERSITY OF CALIFORNIA 2017-10-26 US disclosed
EP-2200994-B1 CONDENSED COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ACADIA PHARM INC (US) 2014-01-22 EP disclosed
US-8470872-B2 Compounds with activity at estrogen receptors ACADIA PHARMACEUTICALS INC. (US) 2013-06-25 US disclosed
US-8470872-B2 Compounds with activity at estrogen receptors ACADIA PHARMACEUTICALS INC. (US) 2013-06-25 US disclosed
US-20120088825-A1 COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ACADIA PHARMACEUTICALS INC. (US) 2012-04-12 US disclosed
US-20120088825-A1 COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ACADIA PHARMACEUTICALS INC. (US) 2012-04-12 US disclosed
US-8101651-B2 Compounds with activity at estrogen receptors ACADIA PHARMACEUTICALS INC. (US) 2012-01-24 US disclosed
US-8101651-B2 Compounds with activity at estrogen receptors ACADIA PHARMACEUTICALS INC. (US) 2012-01-24 US disclosed
US-20090131510-A1 COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ACADIA PHARMACEUTICALS INC. 2009-05-21 US disclosed
US-20090131510-A1 COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ACADIA PHARMACEUTICALS INC. 2009-05-21 US disclosed
WO-2009055734-A1 CONDENSED COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ACADIA PHARMACEUTICALS INC. (US) 2009-04-30 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 (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-20120088825-A1 COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ESRRB, ESR2, ESRRA RXRA 35/4885DHFR 2363/4885
US-20170304216-A1 ESTROGEN RECEPTOR LIGAND TREATMENT FOR NEURODEGENERATIVE DISEASES ESR2, ESRRG, ESR1 RXRA 181/4885DHFR 3169/4885
US-20090131510-A1 COMPOUNDS WITH ACTIVITY AT ESTROGEN RECEPTORS ESRRB, ESR2, ESRRA RXRA 35/4885DHFR 2363/4885
US-10758496-B2 Estrogen receptor ligand treatment for neurodegenerative diseases ESR2, ESRRG, ESR1 RXRA 181/4885DHFR 3169/4885

“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.