SCHEMBL17508043

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
	SCHEMBL16739486	0.92	ENPP2 (0.51)	ENPP2NPC1RAB9AALDH1A1TP53
	SCHEMBL16751070	0.89	ENPP2 (0.63)	ENPP2NPC1RAB9AALDH1A1TP53
	SCHEMBL30146966	0.87	ENPP2 (0.67)	ENPP2
	SCHEMBL16739496	0.87	ENPP2 (0.67)	ENPP2
	SCHEMBL30146964	0.86	ENPP2 (0.66)	ENPP2
	SCHEMBL17508049	0.86	ENPP2 (0.66)	ENPP2
	SCHEMBL17508046	0.86	ENPP2 (0.66)	ENPP2
	SCHEMBL16739516	0.86	ENPP2 (0.69)	ENPP2ALDH1A1HTTMAPTHPGD
	SCHEMBL17508047	0.85	ENPP2 (0.56)	ENPP2
	SCHEMBL29657216	0.85	ENPP2 (0.56)	ENPP2

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 32 patents — showing the first 20. 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 (5 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.