SCHEMBL18094969

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
	SCHEMBL16703185	1.00	OPRM1 (0.45)	OPRM1OPRD1ACEACE2F2
	SCHEMBL16702932	0.95	OPRM1 (0.50)	OPRM1OPRD1ACEACE2F2
	SCHEMBL16703018	0.90	ELANE (0.45)	ACEACE2F2ELANE
	SCHEMBL16704083	0.89	ELANE (0.42)	OPRM1OPRD1F2ELANE
	SCHEMBL24447150	0.89	F2 (0.56)	ACEF2
	SCHEMBL28394567	0.89	F2 (0.56)	ACEF2
	SCHEMBL16706511	0.89	F2 (0.56)	ACEF2
	SCHEMBL16703340	0.88	DPP4 (0.54)	OPRM1OPRD1F2
	SCHEMBL30814251	0.88	DPP4 (0.54)	OPRM1OPRD1F2
	SCHEMBL20853463	0.88	DPP4 (0.54)	OPRM1OPRD1F2

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 11 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 (6 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.