SCHEMBL2213987

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
	SCHEMBL2208937	0.92	GCK (0.57)	GCKKDM4ENPC1ALDH1A1POLB
	SCHEMBL2213619	0.89	GCK (0.72)	GCK
	SCHEMBL2212891	0.87	GCK (0.57)	GCKKDM4ENPC1ALDH1A1POLB
	SCHEMBL2210677	0.86	GCK (0.60)	GCK
	SCHEMBL2210579	0.86	GCK (0.77)	GCK
	SCHEMBL2213114	0.83	GCK (0.57)	GCKKDM4ENPC1ALDH1A1POLB
	SCHEMBL2210636	0.79	GCK (0.59)	GCK
	SCHEMBL2208954	0.77	GCK (0.59)	GCKNPC1RAB9A
	SCHEMBL2210526	0.77	GCK (0.67)	GCK
	SCHEMBL2208905	0.77	GCK (0.60)	GCKNPC1POLBRAB9A

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 23 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 (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.