SCHEMBL12772104

SCHEMBL12772104

COc1ccc(COC(/C=C\[C@@H](C)[C@H](C)O[Si](C)(C)C(C)(C)C)[C@H]2OC(C)(C)O[C@H]2CC=O)cc1

nearest known ligand 0.33

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
▸ APLNR P35414 1/20 0.33

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
SCHEMBL13904060 1.00 APLNR (0.33) APLNR
SCHEMBL15580613 0.92 APLNR (0.32) APLNR
SCHEMBL13904061 0.92 APLNR (0.32) APLNR
SCHEMBL12772109 0.92 APLNR (0.32) APLNR
SCHEMBL17082369 0.91 APLNR (0.33) APLNR
SCHEMBL13904056 0.89 APLNR (0.31) APLNR
SCHEMBL12772099 0.88 APLNR (0.32) APLNR
SCHEMBL13904057 0.87 APLNR (0.31) APLNR
SCHEMBL12769332 0.85 APLNR (0.31) APLNR
SCHEMBL13155308 0.85 APLNR (0.31) APLNR

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-2308861-B1 MACROCYCLIC COMPOUNDS USEFUL AS PHARMACEUTICALS EISAI R&D MAN CO LTD (JP) 2017-03-01 — — EP disclosed
EP-1507773-B1 MACROCYCLIC COMPOUNDS USEFUL AS PHARMACEUTICALS EISAI R&D MAN CO LTD (JP) 2015-09-16 — — EP disclosed
US-7915306-B2 For therapy of inflammatory or autoimmune disorders EISAI CO., LTD. (JP) 2011-03-29 — — US disclosed
US-7799827-B2 Macrocyclic compounds useful as pharmaceuticals EISAI CO., LTD. (JP) 2010-09-21 — — US disclosed
US-20090082313-A1 Multikinase Inhibitors for Use in the Treatment of Cancer EISAI R&D MANAGEMENT CO., LTD. (JP) 2009-03-26 — — 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-20090082313-A1 Multikinase Inhibitors for Use in the Treatment of Cancer EGFR, ERBB3, FLT3 APLNR 1777/4885

“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.

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