SCHEMBL580894

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
	SCHEMBL580336	0.83	PDE10A (0.42)	PDE10AFEN1
	SCHEMBL2456284	0.81	PDE10A (0.56)	PDE10AFEN1
	SCHEMBL233226	0.80	DHODH (0.46)	FEN1
	SCHEMBL2455636	0.80	PDE10A (0.58)	PDE10AFEN1
	SCHEMBL580379	0.79	PDE10A (0.40)	PDE10AFEN1
	SCHEMBL14878663	0.79	PDE10A (0.58)	PDE10AFEN1
	SCHEMBL581393	0.79	PDE10A (0.56)	PDE10AFEN1
	SCHEMBL12238435	0.78	FEN1 (0.44)	PDE10AFEN1
	SCHEMBL587790	0.78	PDE10A (0.55)	PDE10A
	SCHEMBL580685	0.78	AURKA (0.61)	—

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 30 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.