SCHEMBL714260

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
	SCHEMBL713489	0.83	APP (0.38)	IRAK4ALDH1A1GLAACACB
	SCHEMBL711056	0.80	IRAK4 (0.32)	IRAK4ACACB
	SCHEMBL714196	0.78	IRAK4 (0.33)	IRAK4ACACB
	SCHEMBL712468	0.74	NPC1 (0.32)	ALDH1A1GLA
	SCHEMBL711988	0.74	CYP2C9 (0.39)	ALDH1A1GLA
	SCHEMBL712448	0.73	—	—
	SCHEMBL711728	0.73	CYP2C9 (0.39)	ALDH1A1GLA
	SCHEMBL713299	0.72	KCNJ5 (0.38)	ALDH1A1GLA
	SCHEMBL714606	0.72	ALDH1A1 (0.33)	ALDH1A1GLA
	SCHEMBL2991803	0.71	SMN1; SMN2 (0.44)	ALDH1A1

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.