SCHEMBL10099182

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
	SCHEMBL566828	0.92	APP (0.48)	APPACHEJAK1JAK3KDM4E
	SCHEMBL566430	0.89	APP (0.43)	APPACHEMAPTNPSR1JAK1
	SCHEMBL3308729	0.89	APP (0.43)	APPACHEMAPTNPSR1JAK1
	SCHEMBL10099144	0.82	JAK1 (0.44)	MAPTNPSR1JAK1JAK3KDM4E
	SCHEMBL574975	0.81	APP (0.46)	APPACHEJAK1JAK3KDM4E
	SCHEMBL3315285	0.81	APP (0.46)	APPACHEJAK1JAK3KDM4E
	SCHEMBL574976	0.81	APP (0.46)	APPACHEJAK1JAK3KDM4E
	SCHEMBL2105766	0.75	JAK1 (0.73)	JAK1JAK3
	SCHEMBL566703	0.74	SIGMAR1 (0.45)	JAK1JAK3KDM4EALDH1A1LMNA
	SCHEMBL3312753	0.73	APP (0.45)	APPACHEMAPTJAK1JAK3

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 2 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.