SCHEMBL6033378

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
	SCHEMBL8907250	0.80	—	—
	SCHEMBL8905042	0.77	—	—
	SCHEMBL3289759	0.77	—	—
	SCHEMBL11215433	0.77	—	—
	SCHEMBL3296119	0.73	SMN1; SMN2 (0.46)	LMNAHPGDALDH1A1MAPTGFER
	SCHEMBL8906308	0.72	LMNA (0.42)	LMNAHPGDALDH1A1MAPTGFER
	SCHEMBL8906298	0.72	LMNA (0.42)	LMNAHPGDALDH1A1MAPTGFER
	SCHEMBL3289898	0.72	SMN1; SMN2 (0.44)	LMNAHPGDALDH1A1MAPTGFER
	SCHEMBL6244223	0.72	LMNA (0.39)	LMNAHPGDALDH1A1MAPTGFER
	SCHEMBL16411240	0.71	SMN1; SMN2 (0.43)	LMNAHPGDALDH1A1MAPTGFER

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 9 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.