SCHEMBL22945971

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
	SCHEMBL22944782	0.93	MEN1 (0.36)	LMNAMAPTMAPK1MEN1RECQL
	SCHEMBL22945981	0.92	PDE6D (0.37)	LMNAMAPTMAPK1MEN1RECQL
	SCHEMBL22945969	0.90	MAPT (0.33)	MAPTMAPK1MEN1KMT2ATDP1
	SCHEMBL22944957	0.89	KDM4E (0.33)	MAPK13GCGRMAPK12MAPK11MAPK14
	SCHEMBL22945278	0.89	—	—
	SCHEMBL22945279	0.89	PDE6D (0.31)	—
	SCHEMBL22944781	0.89	S1PR4 (0.31)	—
	SCHEMBL22945735	0.89	KRAS (0.37)	—
	SCHEMBL22945734	0.89	KDM4E (0.32)	LMNAMAPTMEN1KMT2AKDM4E
	SCHEMBL22945441	0.88	ALOX5 (0.32)	—

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 (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.