SCHEMBL4865128

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
	SCHEMBL4867050	0.88	EGFR (0.47)	EGFRERBB2
	SCHEMBL4862985	0.87	ERBB2 (0.45)	EGFRERBB2ERBB4
	SCHEMBL8488615	0.85	EGFR (0.42)	EGFRERBB2ERBB4GAKABL1
	SCHEMBL8150843	0.85	EGFR (0.42)	EGFRERBB2ERBB4GAKABL1
	SCHEMBL4866302	0.85	AURKA (0.46)	EGFRERBB2ERBB4
	SCHEMBL4858939	0.84	AURKA (0.57)	EGFRERBB2ERBB4ERBB3
	SCHEMBL4865094	0.83	EGFR (0.56)	EGFRERBB2ERBB4GAKERBB3
	SCHEMBL2991831	0.80	DYRK1A (0.47)	EGFRERBB2
	SCHEMBL6103472	0.78	EGFR (0.48)	EGFRERBB2ERBB4GAK
	SCHEMBL8093530	0.78	SIRT2 (0.50)	EGFRERBB2ERBB4HDAC1HDAC8

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 11 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.