SCHEMBL1378596

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
	SCHEMBL1377914	0.92	F10 (0.70)	F10F2KLK1
	SCHEMBL3371333	0.91	F10 (0.73)	F10F2KLK1
	SCHEMBL1383080	0.91	F10 (0.73)	F10F2KLK1
	SCHEMBL1378279	0.89	F10 (0.73)	F10F2KLK1
	SCHEMBL1379493	0.88	F10 (0.78)	F10F2KLK1
	SCHEMBL1381517	0.86	F10 (0.71)	F10F2KLK1
	SCHEMBL1379448	0.85	F10 (0.81)	F10F2KLK1
	SCHEMBL1379820	0.85	F10 (0.81)	F10F2KLK1
	SCHEMBL1378264	0.84	F10 (0.76)	F10F2KLK1
	SCHEMBL3367412	0.83	F10 (0.69)	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 12 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.