SCHEMBL1982196

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
	SCHEMBL1982197	1.00	APP (0.85)	APPGLAGAAKDM4ENPC1
	SCHEMBL1977100	0.92	APP (1.00)	APPGLAGAAKDM4ENPC1
	SCHEMBL12974045	0.92	APP (1.00)	APPGLAGAAKDM4ENPC1
	SCHEMBL12509576	0.90	APP (0.68)	APPGLAGAAKDM4ENPC1
	SCHEMBL13853566	0.90	APP (1.00)	APPGLAGAAKDM4ENPC1
	SCHEMBL1985183	0.90	APP (0.68)	APPGLAGAAKDM4ENPC1
	SCHEMBL1985184	0.90	APP (0.68)	APPGLAGAAKDM4ENPC1
	SCHEMBL16623351	0.89	APP (0.66)	APPGLAGAASULT1A1SNCA
	SCHEMBL1982612	0.88	APP (0.85)	APPGLAGAAMAPTSULT1A1
	SCHEMBL1982614	0.88	APP (0.85)	APPGLAGAAMAPTSULT1A1

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 10 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.