SCHEMBL96728

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
	SCHEMBL96727	1.00	TOP1 (0.57)	TOP1MAOBCA1CA2ARG2
	SCHEMBL97048	0.89	MAOB (0.60)	TOP1MAOBCA1CA2ARG2
	SCHEMBL97047	0.89	MAOB (0.60)	TOP1MAOBCA1CA2ARG2
	SCHEMBL97223	0.82	KCNH2 (0.41)	TOP1MAOBKCNH2CNR1
	SCHEMBL97222	0.82	KCNH2 (0.41)	TOP1MAOBKCNH2CNR1
	SCHEMBL96844	0.79	TOP1 (0.62)	TOP1MAOBCA1CA2ARG2
	SCHEMBL96845	0.79	TOP1 (0.62)	TOP1MAOBCA1CA2ARG2
	SCHEMBL5541407	0.77	TOP1 (0.53)	TOP1MAOBCA1CA2ARG2
	SCHEMBL5541411	0.77	TOP1 (0.53)	TOP1MAOBCA1CA2ARG2
	SCHEMBL96729	0.77	TOP1 (0.61)	TOP1MAOBCA1CA2ARG2

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 11 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 (3 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.