SCHEMBL2917636

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
	SCHEMBL2920972	0.91	KMT2A (0.52)	CA9KMT2AMAPTTDP1POLB
	SCHEMBL2917043	0.90	TP53 (0.48)	CA9KMT2AMAPTTDP1POLB
	SCHEMBL2912492	0.88	KMT2A (0.54)	KMT2AFABP3OXTRAVPR1AMEN1
	SCHEMBL2918939	0.88	CA9 (0.63)	CA9KMT2AMAPTTDP1POLB
	SCHEMBL2916960	0.85	CA9 (0.48)	CA9KMT2AMAPTTDP1POLB
	SCHEMBL2915848	0.83	CA9 (0.63)	CA9MAPTCHRNA7
	SCHEMBL2918273	0.83	CA9 (0.46)	CA9KMT2AMAPTTDP1POLB
	SCHEMBL2919398	0.83	CA9 (0.52)	CA9CHRNA7
	SCHEMBL2919548	0.83	CA9 (0.46)	CA9KMT2AMAPTTDP1POLB
	SCHEMBL2917961	0.82	CA9 (0.54)	CA9CHRNA7

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 5 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.