SCHEMBL718094

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
	SCHEMBL714578	0.76	LNPEP (0.36)	GRM5LNPEPACACB
	SCHEMBL712117	0.75	IRAK4 (0.39)	APPCNR2IRAK4ACACB
	SCHEMBL27071638	0.75	CCR1 (0.44)	GRM5GRM4
	SCHEMBL10762280	0.67	APP (0.53)	APPACACBACACA
	SCHEMBL31680718	0.66	PARP10 (0.43)	LNPEPACACBACACA
	SCHEMBL30726837	0.66	ALDH1A1 (0.62)	CNR2GRM5GRM4ACACB
	SCHEMBL30726838	0.66	ALDH1A1 (0.62)	CNR2GRM5GRM4ACACB
	SCHEMBL712142	0.66	ALDH1A1 (0.62)	CNR2GRM5GRM4ACACB
	SCHEMBL24304923	0.66	APP (0.57)	APP
	SCHEMBL4756143	0.65	MAPT (0.54)	APP

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 19 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 (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.