SCHEMBL2393512

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
	SCHEMBL2391794	0.88	APP (0.50)	APPCES2CES1CHRM3CHRM2
	SCHEMBL2393859	0.82	BCAT2 (0.42)	CES2CES1CHRM3AKR1C3AKR1C2
	SCHEMBL9890692	0.82	CHRM3 (0.44)	APPCHRM3CHRM2CHRM1CTSA
	SCHEMBL2395162	0.81	PARP1 (0.41)	CES2CES1
	SCHEMBL2393198	0.80	APP (0.43)	APPCTSA
	SCHEMBL2393200	0.80	APP (0.43)	APPCTSA
	SCHEMBL2391614	0.80	APP (0.43)	APPCTSA
	SCHEMBL2395590	0.80	APP (0.42)	APPCHRM3CTSASCN9A
	SCHEMBL2390308	0.75	OPRL1 (0.38)	CES2CES1
	SCHEMBL9890808	0.75	PTPN1 (0.43)	CES2CES1

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 11 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 (2 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.