SCHEMBL1985282

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
	SCHEMBL12422167	0.92	APP (0.49)	MMP13APPMMP2MMP9MMP8
	SCHEMBL12422182	0.92	APP (0.49)	MMP13APPMMP2MMP9MMP8
	SCHEMBL12422166	0.88	APP (0.53)	MMP13APPMMP2MMP9MMP8
	SCHEMBL2192897	0.85	APP (0.50)	MMP13APPMMP2MMP9MMP8
	SCHEMBL1984479	0.84	MAPT (0.62)	MMP13APPMMP2MMP9MMP8
	SCHEMBL1984187	0.82	KDM4E (0.50)	APPMMP9MMP8MAPTALDH1A1
	SCHEMBL12509534	0.82	MAPT (0.46)	MAPTLMNAALDH1A1MEN1KMT2A
	SCHEMBL16674145	0.79	APP (0.52)	MMP13APPMMP2MMP9MMP8
	SCHEMBL2191465	0.78	MAPT (0.52)	MAPTLMNAALDH1A1MEN1KMT2A
	SCHEMBL28822619	0.76	MAPT (0.55)	MMP13APPMMP2MMP9MMP8

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 8 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.