SCHEMBL2977938

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
	SCHEMBL2971430	0.92	MME (0.43)	ALOX5APFEN1HRH4MME
	SCHEMBL2970024	0.89	MME (0.43)	MME
	SCHEMBL2970179	0.89	ALOX5AP (0.41)	ALOX5APFEN1
	SCHEMBL2977939	0.84	ALOX5AP (0.39)	ALOX5APFEN1MME
	SCHEMBL2976589	0.84	FCER2 (0.40)	MME
	SCHEMBL2977937	0.84	BDKRB1 (0.38)	ALOX5APFEN1MME
	SCHEMBL2975552	0.81	ALOX5AP (0.37)	ALOX5APFEN1HSP90AA1HSP90AB1
	SCHEMBL3054815	0.81	MME (0.40)	MME
	SCHEMBL2973094	0.81	MME (0.52)	MME
	SCHEMBL3067947	0.80	FCER2 (0.37)	MME

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 10 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 (5 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.