SCHEMBL1999344

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
	SCHEMBL1989043	0.92	MAPT (0.38)	MAPTPOLBUSP2
	SCHEMBL1126522	0.88	MAPT (0.37)	MAPTP2RY1POLBRAB9A
	SCHEMBL1126928	0.88	MAPT (0.39)	MAPTALDH1A1POLBRAB9A
	SCHEMBL1126883	0.88	SIGMAR1 (0.38)	MAPTPOLBRAB9A
	SCHEMBL1126921	0.88	MAPT (0.37)	MAPTPOLBRAB9A
	SCHEMBL1992161	0.87	MAPT (0.44)	MAPTALDH1A1P2RY1POLBMEN1
	SCHEMBL1127171	0.87	POLB (0.42)	MAPTALDH1A1POLBMEN1KMT2A
	SCHEMBL1126811	0.86	MAPT (0.36)	MAPTPOLBHSD17B10
	SCHEMBL1126614	0.85	NPC1 (0.48)	MAPTALDH1A1KMT2AGAAHTT
	SCHEMBL1994130	0.81	MAPT (0.39)	MAPTALDH1A1POLBNPSR1

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 12 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.