SCHEMBL6569159

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
	SCHEMBL6572228	0.96	APP (0.38)	APPDHODHMAPTKDM4EATM
	SCHEMBL7032017	0.96	APP (0.40)	APPMAPTKDM4EATML3MBTL1
	SCHEMBL17736383	0.96	APP (0.40)	APPDHODHMAPTKDM4EATM
	SCHEMBL12704960	0.96	APP (0.40)	APPDHODHMAPTKDM4EATM
	SCHEMBL7021752	0.95	APP (0.37)	APPMAPTKDM4EATML3MBTL1
	SCHEMBL12704847	0.94	APP (0.39)	APPDHODHMAPTKDM4EATM
	SCHEMBL13620174	0.94	APP (0.39)	APPDHODHMAPTKDM4EATM
	SCHEMBL16922599	0.93	NLRP3 (0.38)	APPDHODHMAPTKDM4EATM
	SCHEMBL15504027	0.93	NLRP3 (0.38)	APPDHODHMAPTKDM4EATM
	SCHEMBL20812929	0.93	NLRP3 (0.38)	APPDHODHMAPTKDM4EATM

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 38 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 (7 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.