SCHEMBL2964117

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
	SCHEMBL2975195	0.87	LCK (0.70)	TEKLCKKDRABL1BCR
	SCHEMBL2965527	0.86	TEK (0.70)	TEKLCKKDRABL1BCR
	SCHEMBL2971628	0.85	TEK (0.64)	TEKLCKKDRABL1BCR
	SCHEMBL2962918	0.85	TEK (0.73)	TEKLCKKDRABL1BCR
	SCHEMBL2977313	0.84	TEK (0.70)	TEKLCKKDRABL1BCR
	SCHEMBL13315453	0.83	TEK (0.61)	TEKLCKKDRABL1BCR
	SCHEMBL2975129	0.83	TEK (0.70)	TEKLCKKDRABL1BCR
	SCHEMBL2974823	0.81	TEK (0.59)	TEKLCKKDRABL1BCR
	SCHEMBL2961482	0.81	TEK (0.59)	TEKLCKKDRABL1BCR
	SCHEMBL2966750	0.80	LCK (0.85)	TEKLCKKDRABL1BCR

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 15 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.