SCHEMBL2482974

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.

	Compound	similarity	top predicted	shared targets
	SCHEMBL2472290	0.92	STAT6 (0.72)	STAT6MAPK10MAPK9GAA
	SCHEMBL2483337	0.90	STAT6 (0.73)	STAT6MAPK10MAPK9JAK3IRAK4
	SCHEMBL2480873	0.88	STAT6 (0.62)	STAT6MAPK10MAPK9JAK3IRAK4
	SCHEMBL2479620	0.88	STAT6 (0.73)	STAT6MAPK10MAPK9JAK3IRAK4
	SCHEMBL2484601	0.85	STAT6 (0.70)	STAT6MAPK10MAPK9JAK3IRAK4
	SCHEMBL2478758	0.84	STAT6 (0.71)	STAT6MAPK10MAPK9
	SCHEMBL2481818	0.84	STAT6 (0.72)	STAT6MAPK10MAPK9JAK3IRAK4
	SCHEMBL2486643	0.83	STAT6 (0.73)	STAT6MAPK10MAPK9JAK3IRAK4
	SCHEMBL2478948	0.83	STAT6 (0.61)	STAT6MAPK10MAPK9JAK3IRAK4
	SCHEMBL2485940	0.83	STAT6 (0.61)	STAT6MAPK10MAPK9

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

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.

“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.