SCHEMBL6443716

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
	SCHEMBL18130059	0.78	APP (0.48)	APPTRPA1CA1CA2CA4
	SCHEMBL910546	0.74	APP (0.43)	APPTRPA1CA1CA2CA4
	SCHEMBL9176288	0.74	TRPA1 (0.46)	APPTRPA1CA1CA2CA4
	SCHEMBL217250	0.74	CA12 (0.52)	APPEGFRCA2CA6ALOX15
	SCHEMBL2338290	0.74	APP (0.43)	APPTRPA1CA1CA2CA4
	SCHEMBL29449995	0.74	CA12 (0.52)	APPEGFRCA2CA6ALOX15
	SCHEMBL15012969	0.73	MAOB (0.55)	TRPA1EGFRCA2ALOX5ALOX15
	SCHEMBL23271632	0.72	CA12 (0.50)	APPEGFRCA2CA6ALOX15
	SCHEMBL34461940	0.72	CA12 (0.50)	APPEGFRCA2CA6ALOX15
	Lithium SCHEMBL29517077	0.72	CA12 (0.50)	APPEGFRCA2CA6ALOX15

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 8 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 (1 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.