SCHEMBL1503974

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
	SCHEMBL3308371	0.91	APP (0.64)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL13379289	0.89	APP (0.66)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL3308366	0.88	APP (0.64)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL3308373	0.88	APP (0.64)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL16235767	0.83	APP (0.69)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL16235764	0.83	APP (0.69)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL9365281	0.82	APP (0.58)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL11610739	0.82	PKM (0.60)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL10712446	0.81	MAPT (0.64)	APPKCNMA1TRPV1PKML3MBTL1
	SCHEMBL12035960	0.79	APP (0.60)	APPKCNMA1TRPV1PKML3MBTL1

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 23 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 (12 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.