SCHEMBL20176461

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
	SCHEMBL20176628	0.86	LIPG (0.47)	LPLLIPGPDGFRBKDRDGAT1
	SCHEMBL20176526	0.85	LPL (0.42)	LPLLIPGPDGFRBKDRDGAT1
	SCHEMBL20176444	0.85	LIPG (0.50)	LPLLIPGSMN1; SMN2PDGFRBKDR
	SCHEMBL20176456	0.83	LPL (0.44)	LPLLIPGPDGFRBKDRDGAT1
	SCHEMBL20176788	0.83	LPL (0.56)	LPLLIPGCA9CA1CA2
	SCHEMBL20176446	0.83	LPL (0.39)	LPLLIPGPDGFRBKDRDGAT1
	SCHEMBL20176545	0.83	LPL (0.38)	LPLLIPGPDGFRBKDRDGAT1
	SCHEMBL439450	0.82	ENPP1 (0.42)	ENPP1ENPP3LPLLIPGCA12
	SCHEMBL20176687	0.81	DGAT1 (0.48)	ENPP1ENPP3LPLLIPGCA12
	SCHEMBL20176454	0.80	LPL (0.38)	LPLLIPGPDGFRBKDRDGAT1

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 3 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 (1 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.