SCHEMBL1622508

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
	SCHEMBL1622817	0.87	ITK (0.65)	ITKLCKTXKSYK
	SCHEMBL1623341	0.86	ITK (0.63)	ITKLCKTXKSYK
	SCHEMBL2898497	0.83	ITK (0.59)	ITKLCKTXKSYKKDR
	SCHEMBL12748758	0.82	ITK (0.64)	ITKLCKTXKSYKMAP2K4
	SCHEMBL1621146	0.80	ITK (0.48)	ITKLCKTXKSYKRET
	SCHEMBL4114671	0.80	ITK (0.74)	ITKCHEK1CDK7
	SCHEMBL13869803	0.77	ITK (0.60)	ITKLCKTXKSYK
	SCHEMBL1622884	0.76	ITK (0.50)	ITKLCKTXKSYK
	SCHEMBL16675978	0.76	ITK (1.00)	ITKLCKTXKSYKKDR
	SCHEMBL1621145	0.76	ITK (0.54)	ITKLCKTXKSYK

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 23 patents — showing the first 20. 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.