SCHEMBL10127103

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
	SCHEMBL10127040	0.80	TP53 (0.46)	SYKPPARGEPHB2
	SCHEMBL10127090	0.79	CA1 (0.48)	CA1CA2CA7AURKACA13
	SCHEMBL10156735	0.79	CA1 (0.44)	TRPV1CA1CA2CA7CA13
	SCHEMBL10127228	0.79	KIT (0.39)	TRPV1CA1CA2CA7SYK
	SCHEMBL10127122	0.78	ATF1 (0.39)	NFKB1ATF1TRPV1AURKASYK
	SCHEMBL10126692	0.77	PPARG (0.47)	CA1CA2CA7CA13PPARG
	SCHEMBL10127045	0.76	MAPT (0.45)	CA1CA2CA7PPARGPOLB
	SCHEMBL10156701	0.76	CA1 (0.41)	TRPV1CA1CA2CA7AURKA
	SCHEMBL10156539	0.75	PTK2 (0.40)	TRPV1CA1CA2CA7PPARG
	SCHEMBL16305326	0.74	CSNK2A1 (0.44)	PPARG

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 8 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.