SCHEMBL19795808

SCHEMBL19795808

COC1(C(=O)NCc2ccccc2)CCN(c2nc(C)cc(Nc3cc(C)[nH]n3)n2)CC1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
RET P07949 20/20 1.00

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
SCHEMBL19797339 0.89 RET (1.00) RET
SCHEMBL19795805 0.89 RET (0.84) RET
SCHEMBL19795819 0.85 RET (0.86) RET
SCHEMBL19796299 0.85 RET (0.73) RET
SCHEMBL19796173 0.85 RET (0.73) RET
SCHEMBL19795809 0.83 RET (1.00) RET
SCHEMBL19796198 0.82 RET (0.77) RET
Lithium Ion SCHEMBL30990489 0.81 RET (0.68) RET
SCHEMBL19797338 0.81 RET (1.00) RET
SCHEMBL19796087 0.80 RET (1.00) RET

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-10227329-B2 Compounds useful for treating disorders related to RET BLUEPRINT MEDICINES CORPORATION (US) 2019-03-12 US disclosed
US-20180022732-A1 COMPOUNDS USEFUL FOR TREATING DISORDERS RELATED TO RET BLUEPRINT MEDICINES CORPORATION 2018-01-25 US disclosed
US-20180022732-A1 COMPOUNDS USEFUL FOR TREATING DISORDERS RELATED TO RET BLUEPRINT MEDICINES CORPORATION 2018-01-25 US disclosed
WO-2018017983-A1 COMPOUNDS USEFUL FOR TREATING DISORDERS RELATED TO RET BLUEPRINT MEDICINES CORPORATION (US) 2018-01-25 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-10227329-B2 Compounds useful for treating disorders related to RET RET, EYA2, HRAS RET 1/4885
US-20180022732-A1 COMPOUNDS USEFUL FOR TREATING DISORDERS RELATED TO RET RET, EYA2, HRAS RET 1/4885

“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.