SCHEMBL4113607

SCHEMBL4113607

Cc1c(Br)cccc1[N+]#N.F[B-](F)(F)F

nearest known ligand 0.32

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
ALDH1A1 P00352 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
SCHEMBL28772799 0.98 ALDH1A1 (0.31) ALDH1A1
SCHEMBL13726323 0.80 TRPA1 (0.37) ALDH1A1
SCHEMBL2155974 0.79 ALDH1A1 (0.34) ALDH1A1
SCHEMBL26914801 0.78
SCHEMBL10768642 0.76 MEN1 (0.31) ALDH1A1
SCHEMBL11526486 0.74 TAS2R14 (0.38)
SCHEMBL11110746 0.73 RAB9A (0.31) ALDH1A1
SCHEMBL11021176 0.73 RAB9A (0.31) ALDH1A1
SCHEMBL11522076 0.71 ACHE (0.42) ALDH1A1
SCHEMBL15404199 0.70 TDP1 (0.56) ALDH1A1

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20090124607-A1 Novel Bicyclic Sulfonamides for Use as Glucocorticoid Receptor Modulators in the Treatment of Inflammatory Diseases ASTRAZENECA AB (SE) 2009-05-14 US disclosed
EP-1940800-A1 NOVEL BICYCLIC SULFONAMIDES FOR USE AS GLUCOCORTICOID RECEPTOR MODULATORS IN THE TREATMENT OF INFLAMMATORY DISEASES Astra Zeneca AB (SE) 2008-07-09 EP disclosed
WO-2007046747-A1 NOVEL BICYCLIC SULFONAMIDES FOR USE AS GLUCOCORTICOID RECEPTOR MODULATORS IN THE TREATMENT OF INFLAMMATORY DISEASES ASTRAZENECA AB (SE) 2007-04-26 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-20090124607-A1 Novel Bicyclic Sulfonamides for Use as Glucocorticoid Receptor Modulators in the Treatment of Inflammatory Diseases NR3C1, NR3C2, MC2R ALDH1A1 2378/4885

“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.