SCHEMBL2856340

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
	SCHEMBL2856341	1.00	NOTUM (0.43)	NOTUMFFAR1FFAR4SERPINE1MGLL
	SCHEMBL2856343	1.00	NOTUM (0.43)	NOTUMFFAR1FFAR4SERPINE1MGLL
	SCHEMBL4515377	0.88	ENPP2 (0.42)	FFAR1ENPP2
	SCHEMBL2853997	0.85	PSEN1 (0.51)	FFAR1FFAR4
	SCHEMBL8267623	0.85	PSEN1 (0.51)	FFAR1FFAR4
	SCHEMBL2853999	0.85	PSEN1 (0.51)	FFAR1FFAR4
	SCHEMBL13604399	0.85	FFAR1 (0.43)	FFAR1FFAR4
	SCHEMBL2876179	0.85	FFAR1 (0.43)	FFAR1FFAR4
	SCHEMBL2877745	0.85	FFAR1 (0.43)	FFAR1FFAR4
	SCHEMBL2863855	0.81	FFAR1 (0.38)	FFAR1FFAR4

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 (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.