SCHEMBL10155170

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
	SCHEMBL10154822	0.91	BACE1 (0.54)	BACE1CYP1A2
	SCHEMBL15035125	0.89	CYP1A2 (0.55)	BACE1CYP1A2
	SCHEMBL10156840	0.89	BACE1 (0.69)	BACE1APP
	SCHEMBL10156340	0.89	BACE1 (0.62)	BACE1KCNH2APP
	SCHEMBL10157009	0.89	BACE1 (0.58)	BACE1APP
	SCHEMBL10155927	0.86	BACE1 (0.62)	BACE1APP
	SCHEMBL10156365	0.85	BACE1 (0.61)	BACE1KCNH2APP
	SCHEMBL10155018	0.82	BACE1 (0.62)	BACE1APP
	SCHEMBL10155982	0.82	BACE1 (0.64)	BACE1APP
	SCHEMBL10157266	0.82	BACE1 (0.61)	BACE1KCNH2APP

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 (6 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.