SCHEMBL2828670

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
	SCHEMBL2829345	0.82	MAPK14 (0.53)	MAPK14
	SCHEMBL2825585	0.79	MAPK14 (0.46)	MAPK14PIM1PIM2
	SCHEMBL2830969	0.76	MAPK14 (0.53)	MAPK14
	SCHEMBL2079070	0.72	MAPK14 (0.48)	MAPK14
	SCHEMBL2828324	0.72	MAPK14 (0.52)	MAPK14PIM1PIM2
	SCHEMBL2829080	0.71	MAPK14 (0.40)	MAPK14TDO2
	SCHEMBL2829347	0.71	CCNT1 (0.36)	MAPK14CCNT1TDO2TMEM97SIGMAR1
	SCHEMBL2079898	0.70	MAPK14 (0.61)	MAPK14CCNT1CDK9
	SCHEMBL2841163	0.70	MAPK14 (0.50)	MAPK14TDO2PIM1PIM2
	SCHEMBL2825425	0.69	MAPK14 (0.42)	MAPK14TDO2PIM1PIM2

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 14 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.