SCHEMBL19089364

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
	SCHEMBL19089296	0.93	EGFR (0.53)	EGFRJAK3BTK
	SCHEMBL21097289	0.86	EGFR (0.47)	EGFRJAK3BTKERBB2ABL1
	SCHEMBL6484196	0.82	JAK3 (0.65)	EGFRJAK3BTKERBB2KIT
	SCHEMBL19089585	0.79	EGFR (0.56)	EGFRERBB2AXLKDREPHB4
	SCHEMBL35210266	0.78	EGFR (0.66)	EGFRJAK3BTKERBB2KIT
	SCHEMBL19089545	0.78	EGFR (0.66)	EGFRJAK3BTKERBB2KIT
	SCHEMBL19089368	0.78	EGFR (0.61)	EGFR
	SCHEMBL19089584	0.78	EGFR (0.52)	EGFRERBB2KDREPHB4
	SCHEMBL20548844	0.78	EGFR (0.60)	EGFRALK
	SCHEMBL20548888	0.77	EGFR (0.68)	EGFRALK

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 8 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.