SCHEMBL1675263

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
	SCHEMBL1675166	0.92	F10 (0.77)	F10F2KLK1
	SCHEMBL3962494	0.91	F10 (0.69)	F10F2KLK1
	SCHEMBL1674955	0.91	F10 (0.78)	F10F2KLK1
	SCHEMBL3963600	0.90	F10 (0.67)	F10F2KLK1
	SCHEMBL3960719	0.88	F10 (0.62)	F10F2KLK1
	SCHEMBL1674984	0.87	F10 (1.00)	F10F2KLK1
	SCHEMBL15911374	0.86	F10 (0.64)	F10F2KLK1
	SCHEMBL15927098	0.83	F10 (0.54)	F10F2KLK1
	SCHEMBL3963875	0.83	F10 (0.69)	F10F2KLK1
	SCHEMBL3958973	0.83	F10 (0.68)	F10F2KLK1

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 5 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.