SCHEMBL14647167

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
	SCHEMBL14647150	0.84	PARP1 (0.55)	PARP1KDM4EALDH1A1
	SCHEMBL14647128	0.84	PARP1 (0.51)	PARP1ALDH1A1GAA
	SCHEMBL14647212	0.83	PARP1 (0.61)	PARP1TNKSPOLB
	SCHEMBL14647172	0.82	PARP1 (0.54)	PARP1KDM4EALDH1A1POLB
	SCHEMBL14647162	0.82	GPR183 (0.48)	PARP1KDM4EALDH1A1
	SCHEMBL14647157	0.82	PARP1 (0.54)	PARP1PARP2
	SCHEMBL14647177	0.82	PARP1 (0.48)	PARP1
	SCHEMBL14647181	0.82	PARP1 (0.56)	PARP1
	SCHEMBL14647141	0.81	PARP1 (0.45)	PARP1
	SCHEMBL14647155	0.81	—	—

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 16 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.