SCHEMBL580423

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
	SCHEMBL581607	0.89	AURKB (0.72)	AURKBAURKATPX2TEKKDR
	SCHEMBL581323	0.89	AURKB (1.00)	AURKBAURKATPX2TEKKDR
	SCHEMBL580643	0.88	AURKB (0.71)	AURKBAURKATPX2TEKKDR
	SCHEMBL580711	0.85	AURKB (0.80)	AURKBAURKATPX2TEKKDR
	SCHEMBL580843	0.84	AURKB (0.92)	AURKBAURKATPX2TEKKDR
	SCHEMBL581099	0.83	AURKB (0.89)	AURKBAURKATPX2TEKHTT
	SCHEMBL14428349	0.83	AURKB (0.57)	AURKBAURKATPX2TEKKDR
	SCHEMBL581310	0.82	AURKB (0.87)	AURKBAURKATPX2TEKKDR
	SCHEMBL580531	0.82	AURKB (0.87)	AURKBAURKATPX2TEKKDR
	SCHEMBL15809959	0.82	AURKB (1.00)	AURKBAURKATPX2TEKLMNA

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 27 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 (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.