SCHEMBL83004

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
	SCHEMBL83223	0.96	LRRK2 (0.37)	SMN1; SMN2LMNAHTTNCOA3JAK3
	SCHEMBL83076	0.87	CYP2C19 (0.33)	ELOVL1CYP2C19
	SCHEMBL83858	0.86	ELOVL1 (0.33)	SMN1; SMN2NPC1MAPTKDM4ERAB9A
	SCHEMBL84197	0.86	ACACB (0.30)	—
	SCHEMBL83890	0.86	ACACB (0.30)	—
	SCHEMBL83889	0.86	ACACB (0.30)	—
	SCHEMBL83888	0.86	ACACB (0.30)	—
	SCHEMBL84196	0.86	ACACB (0.30)	—
	SCHEMBL82730	0.84	HRH4 (0.33)	ELOVL1CYP2C19
	SCHEMBL82731	0.84	HRH4 (0.33)	ELOVL1CYP2C19

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 15 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 (5 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.