SCHEMBL3133713

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
	SCHEMBL15946039	0.89	ACLY (0.41)	ACLYMEN1KMT2ALMNACASR
	SCHEMBL2151213	0.83	CA1 (0.38)	ACLYLMNACASR
	SCHEMBL3128399	0.82	ADRB3 (0.47)	LMNAADRB3
	SCHEMBL3133931	0.81	ADRB3 (0.47)	LMNAADRB3
	SCHEMBL17766193	0.81	LMNA (0.38)	MEN1KMT2ALMNACASR
	SCHEMBL2150909	0.79	MEN1 (0.39)	MEN1KMT2ALMNACASR
	SCHEMBL3133618	0.78	AURKA (0.45)	LMNAADRB3
	SCHEMBL27821302	0.78	SPHK1 (0.38)	ACLYMEN1KMT2ALMNACASR
	SCHEMBL2150918	0.78	LMNA (0.39)	LMNA
	SCHEMBL2151052	0.78	LMNA (0.39)	LMNA

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 18 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.