SCHEMBL25470206

SCHEMBL25470206

CC(C)N1CCC/C1=N\S

nearest known ligand 0.35

Predicted protein targets (top 1)

geneUniProtsupporting neighboursconfidence
▸ JAK2 O60674 1/20 0.30

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
SCHEMBL25118225 0.80 JAK2 (0.31) JAK2
SCHEMBL24673660 0.80 JAK2 (0.31) JAK2
SCHEMBL21105706 0.78 JAK2 (0.30) JAK2
SCHEMBL21105703 0.78 JAK2 (0.30) JAK2
SCHEMBL21106632 0.75 LMNA (0.33) —
SCHEMBL21106883 0.75 LMNA (0.33) —
SCHEMBL25006291 0.74 — —
SCHEMBL23945120 0.74 — —
SCHEMBL21106025 0.72 — —
SCHEMBL21105704 0.72 — —

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

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20230149549-A1 SMARCA DEGRADERS AND USES THEREOF KYMERA THERAPEUTICS, INC. 2023-05-18 — — 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-20230149549-A1 SMARCA DEGRADERS AND USES THEREOF SMARCA1, SMARCB1, SMARCE1 JAK2 3614/4885

“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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