SCHEMBL18549484

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
	SCHEMBL717647	1.00	APP (0.67)	APPMAPTCA12CA2CA9
	SCHEMBL673609	0.88	APP (0.74)	APPMAPTCA12CA2CA9
	SCHEMBL14400750	0.88	APP (0.74)	APPMAPTCA12CA2CA9
	SCHEMBL19026498	0.87	APP (0.57)	APPMAPTCA12CA2CA9
	SCHEMBL28395598	0.87	MMP3 (0.71)	APPMAPTMMP3BCL2L1MEN1
	SCHEMBL13283919	0.87	LTA4H (0.68)	APPMAPTFFAR1MEN1LMNA
	SCHEMBL2114741	0.85	APP (0.92)	APPMAPTCA12CA2CA9
	SCHEMBL5072017	0.85	LMNA (0.62)	APPMAPTCA12CA2CA9
	SCHEMBL20211704	0.84	APP (0.60)	APPMAPTCA12CA2CA9
	SCHEMBL4267409	0.84	APP (0.60)	APPMAPTCA12CA2CA9

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 (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.