SCHEMBL2113984

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
	SCHEMBL2856487	0.85	IDH2 (0.71)	AURKAIDH2CTSCKDM4EAPP
	SCHEMBL4892529	0.83	CLK1 (0.65)	AURKAIDH2CTSCKDM4E
	SCHEMBL6663767	0.83	AURKA (0.72)	AURKAIDH2KDM4EAPP
	SCHEMBL31501743	0.83	AURKA (0.72)	AURKAIDH2KDM4EAPP
	SCHEMBL30847372	0.83	AURKA (0.72)	AURKAIDH2CTSCKDM4EMAPK8
	SCHEMBL14088796	0.83	AURKA (0.72)	AURKAIDH2KDM4EMAPK8APP
	SCHEMBL27110454	0.83	AURKA (0.72)	AURKAIDH2CTSCKDM4EMAPK8
	SCHEMBL30847380	0.81	CDK2 (0.55)	AURKAMAPK8
	SCHEMBL27111928	0.81	CDK2 (0.55)	AURKAMAPK8
	SCHEMBL2115684	0.80	ABL1 (0.62)	—

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 13 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.