SCHEMBL709233

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
	SCHEMBL708961	0.91	LPAR1 (0.64)	LPAR1LTB4R2LPAR2C5AR1
	SCHEMBL709398	0.86	LPAR1 (0.72)	LPAR1LTB4R2LPAR2
	SCHEMBL706827	0.83	LPAR1 (0.63)	LPAR1LTB4R2LPAR2
	SCHEMBL710059	0.81	LPAR1 (0.62)	LPAR1LTB4R2LPAR2
	SCHEMBL709709	0.80	LPAR1 (0.72)	LPAR1LPAR2
	SCHEMBL709026	0.79	LPAR1 (0.73)	LPAR1LPAR2
	SCHEMBL709668	0.79	LPAR1 (0.75)	LPAR1LTB4R2LPAR2
	SCHEMBL706855	0.78	LPAR1 (1.00)	LPAR1FFAR1FFAR4LPAR2
	SCHEMBL704718	0.78	LPAR1 (0.72)	LPAR1LTB4R2
	SCHEMBL4081027	0.78	LPAR1 (0.53)	LPAR1LPAR2C5AR1

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 (4 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.