SCHEMBL3649824

SCHEMBL3649824

C=C(Br)CCCCCCC(=C)Br

nearest known ligand 0.33

Predicted protein targets (top 8)

geneUniProtsupporting neighboursconfidence
CYP2C19 P33261 1/20 0.33
ALDH1A1 P00352 1/20 0.32
STAT6 P42226 1/20 0.32
SMN1; SMN2 Q16637 1/20 0.32
LMNA P02545 1/20 0.32
TSHR P16473 1/20 0.32
NFKB1 P19838 1/20 0.32
PMP22 Q01453 1/20 0.32

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
SCHEMBL18083650 0.87
SCHEMBL2347902 0.87 GPR84 (0.43) ALDH1A1SMN1; SMN2LMNATSHR
SCHEMBL2349833 0.85 CES2 (0.48) ALDH1A1TSHR
SCHEMBL3003455 0.85
SCHEMBL15266237 0.85 CES2 (0.48) ALDH1A1TSHR
SCHEMBL2352156 0.83
SCHEMBL20631319 0.81
SCHEMBL4697756 0.79
SCHEMBL10051149 0.79
SCHEMBL11800628 0.79

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-9326505-B2 Methods of inhibiting ethylene responses in plants using dicyclopropene compounds NORTH CAROLINA STATE UNIVERSITY (US) 2016-05-03 US disclosed
US-20140057788-A1 METHODS OF INHIBITING ETHYLENE RESPONSES IN PLANTS USING DICYCLOPROPENE COMPOUNDS UNIV NORTH CAROLINA STATE (US) 2014-02-27 US disclosed
US-8592345-B2 Methods of inhibiting ethylene responses in plants using dicyclopropene compounds NORTH CAROLINA STATE UNIVERSITY (US) 2013-11-26 US disclosed
EP-2176202-B1 METHODS OF INHIBITING ETHYLENE RESPONSES IN PLANTS USING DICYCLOPROPENE COMPOUNDS UNIV NORTH CAROLINA STATE (US) 2013-03-06 EP disclosed
EP-2511253-A2 Methods of inhibiting ethylene responses in plants using dicyclopropene compounds North Carolina State University (US) 2012-10-17 EP disclosed
EP-2176202-A1 METHODS OF INHIBITING ETHYLENE RESPONSES IN PLANTS USING DICYCLOPROPENE COMPOUNDS North Carolina State University (US) 2010-04-21 EP disclosed
US-20090203801-A1 METHODS OF INHIBITING ETHYLENE RESPONSES IN PLANTS USING DICYCLOPROPENE COMPOUNDS NORTH CAROLINA STATE UNIVERSITY 2009-08-13 US disclosed
WO-2009002408-A1 METHODS OF INHIBITING ETHYLENE RESPONSES IN PLANTS USING DICYCLOPROPENE COMPOUNDS NORTH CAROLINA STATE UNIVERSITY (US) 2008-12-31 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 (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-20090203801-A1 METHODS OF INHIBITING ETHYLENE RESPONSES IN PLANTS USING DICYCLOPROPENE COMPOUNDS ECE1, GABRE, ECE2 CYP2C19 1731/4885ALDH1A1 4392/4885STAT6 3378/4885
US-20140057788-A1 METHODS OF INHIBITING ETHYLENE RESPONSES IN PLANTS USING DICYCLOPROPENE COMPOUNDS ECE1, GABRE, ECE2 CYP2C19 1731/4885ALDH1A1 4392/4885STAT6 3378/4885

“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.