SCHEMBL1978963

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
	SCHEMBL14157359	0.82	ELANE (0.43)	ARRAB9APOLBELANENPC1
	SCHEMBL1773287	0.81	AR (0.67)	ARRAB9AMEN1LMNATP53
	SCHEMBL1772478	0.79	AR (0.55)	ARRAB9AMEN1LMNATP53
	SCHEMBL31572811	0.79	AR (0.55)	ARRAB9AMEN1LMNATP53
	SCHEMBL11470944	0.78	AR (0.64)	ARRAB9AMEN1LMNATP53
	SCHEMBL1190907	0.78	AR (0.54)	ARRAB9AMEN1LMNATP53
	SCHEMBL14157436	0.76	AR (0.50)	ARRAB9AMEN1LMNATP53
	SCHEMBL9900172	0.76	AR (0.56)	ARRAB9AMEN1LMNATP53
	SCHEMBL13828612	0.74	AR (0.52)	ARLMNATSHRSMN1; SMN2
	SCHEMBL25308762	0.73	AR (1.00)	ARELANE

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 41 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 (7 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.